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In this paper, we develop a data-driven performance-based evaluation framework for a novel electric vertical takeoff and landing aircraft (eVTOL) in the context of Urban Air Mobility (UAM) applications. First, a two-stage comprehensive simulation framework is …
openalex
Mrinmoy Sarkar, Xuyang Yan, Biniam Gebru, Abdul-Rauf Nuhu 等
2022-07-19
置信度 0.72
Computer scienceBenchmark (surveying)Cluster analysisRedundancy (engineering)Context (archaeology)
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AAM (Advanced Air Mobility) is an emerging field in aviation that focuses on developing AAM / electric vertical takeoff and landing (eVTOL) aircraft for urban air mobility. Human-centered design can be used in AAM to provide an advanced emerging environment of…
openalex
Abner Flores, Dimitrios Ziakkas, Jean Delisle
2023-01-01
置信度 0.72
CertificationAviationTakeoffProcess (computing)Computer science
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Experimental data collected for a custom multirotor aircraft are used to perform an analysis to relate the variability of noise levels measured on the ground to the state vector of the vehicle in hover. Data from a total of sixty-nine hover points are used to …
openalex
Vítor Tumelero Valente, Eric Johnson, Eric Greenwood
2023-05-16
置信度 0.72
Noise (video)Sound pressureMicrophoneTrimThrust
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crossref
Jasenka Rakas, Jeffrey Jeung, Duston So, Paul Ambrose 等
2021-11-15T22:56:19Z
置信度 0.70
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The world is on the cusp of a zero-carbon revolution in urban mobility. Within a few years, electric vertical take-off and landing aircraft (eVTOLs) and vertiports will be operational across the globe. This is new, uncharted territory which needs some guidelin…
openalex
Kevin E. Cox
2022-12-01
置信度 0.72
BusinessOn the flyComputer scienceOperating system
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This paper presents a Particle Swarm Optimization (PSO) based routing framework for unmanned aerial vehicle (UAV) networks. We formulate the routing problem as a multi-objective optimization that minimizes end-to-end delay, maximizes link reliability, and cons…
crossref
Neeraj Shrivastava, Dhara Rathore, Rajshree Panwar, Sandeep Singh
2025-12-27T09:33:32Z
置信度 0.70
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A possible classification for organization purposes: [...]
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Gerardo Flores, Héctor M. Becerra, Juan Pablo Ramirez-Paredes, Alexandre Santos Brandão
2026-01-20T08:36:33Z
置信度 0.70
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Jiaxin Li, Jindong Zhu, Yunfei Liu, Xiaowei Fu
2022-07-29T03:16:37Z
置信度 0.70
-
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Daison Darlan, Oladayo S. Ajani, Rammohan Mallipeddi
2026-01-08T18:02:49Z
置信度 0.70
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<p>Due to its position at the boundary between American and European plates, Iceland represents an ideal natural laboratory to study active rifting processes, where rifting mechanisms are complicated by the superimposition of tectonic and magmati…
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Noemi Corti, Alessandro Tibaldi
2020-03-09T13:33:12Z
置信度 0.70
-
crossref
Shripad Gade, Ashok Joshi
2014-02-10T11:28:37Z
置信度 0.70
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The limited endurance of individual UAVs is a key constraint on long-duration swarm missions. Exploiting atmospheric wind fields for energy-harvesting soaring can improve mission persistence, but this requires timely acquisition of exploitable wind models. UAV…
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Yifei Zhao, Tielin Ma, Xiaoqiang Lu, Jingcheng Fu
2026-06-30T19:10:41Z
置信度 0.70
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Ziyang Chen, Fei Luo, Chunjie Zhai
2019-10-17T19:19:42Z
置信度 0.70
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Yue Li, QingPeng Chen, Xunhua Dai, Quan Quan
2026-04-15T22:28:23Z
置信度 0.70
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Three-dimensional UAV path planning in complex environments poses substantial challenges owing to high-dimensional search spaces, nonlinear operational constraints, and multimodal solution landscapes. Although particle swarm optimization (PSO) has demonstrated…
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Kun Bian, You Zhou, Juntao Zhang, Hong Han 等
2026-06-14T16:40:59Z
置信度 0.70
-
crossref
P Sujit, Joel George, Randy Beard
2012-12-20T01:13:16Z
置信度 0.70
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This study investigates the effectiveness of swarm intelligence–based optimization methods for improving energy efficiency and minimizing mission duration in multi–unmanned aerial vehicle (UAV) swarms. The problem is formulated as a route-sequencing optimizati…
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Mustafa Cosar
2026-02-03T06:37:42Z
置信度 0.70
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To address the challenge of decision making in close-range air combat for fixed-wing unmanned air vehicle (UAV) swarms, this paper proposes a distributed Hierarchical Cooperative Soft Actor-Critic with maximum entropy (HC-SAC) framework. A top-level target dec…
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Guannan Chang, Siyuan Ren, Shuna Zhang, Xiaofeng Zhang
2025-11-21T11:04:31Z
置信度 0.70
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Aniket Sharma, Nandan K Sinha
2022-02-15T06:37:07Z
置信度 0.70
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Yan Zhou, Xiwang Dong, Yisheng Zhong
2016-09-21T16:04:17Z
置信度 0.70
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Priyanshi Jain, Rohaan Qureshi, Raghava Nallanthighal
2023-07-10T18:13:57Z
置信度 0.70
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Weifeng Huang, Hongzhi Guo, Jiajia Liu
2022-02-02T21:59:04Z
置信度 0.70
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Jingran Chen, Qixun Zhang, Zhiyong Feng
2020-03-06T17:06:31Z
置信度 0.70
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Kshitij Aggarwal, Aayush Goyal
2021-06-21T20:33:39Z
置信度 0.70
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Qinghua Luo, Shenghui Li, Xiaozhen Yan, Xinyue Zhou
2024-03-21T17:52:58Z
置信度 0.70
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Xiner Mao, Yu An, Liang Geng
2025-12-23T18:28:29Z
置信度 0.70
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Adeeba Ali, Rashid Ali, M.F. Baig
2024-02-27T18:56:24Z
置信度 0.70
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Sun Yu, Dai Dingcheng
2023-11-21T19:19:56Z
置信度 0.70
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Guangya Si, Yanzheng Wang, Yang Zhang
2018-08-31T17:49:43Z
置信度 0.70
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2025-06-05T02:07:01Z
置信度 0.70
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Weitao Wu, Xurui Fan, Yanhong Luo
2021-01-29T21:31:46Z
置信度 0.70
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Suryakant Sahoo, Anil Kumar Shukla, Haneet Rana
2021-10-20T19:34:22Z
置信度 0.70
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Xin Lv, Fanfan Zheng
2025-06-03T17:42:21Z
置信度 0.70
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To address the uneven distribution of the Pareto front and insufficient convergence in multi-UAV task allocation, this paper proposes GrEAPSO, an improved algorithm that hybridizes Particle Swarm Optimization (PSO) with Genetic Algorithm (GA). GrEAPSO balances…
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Yuting Xiong, Liang Zhang
2025-11-10T11:47:27Z
置信度 0.70
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Mingfeng Fan, Huan Liu, Guohua Wu, Aldy Gunawan 等
2025-01-28T08:10:47Z
置信度 0.70
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Bin Hang, Pengjun Guo
2026-01-19T10:26:35Z
置信度 0.70
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Ling Zuo, Wenqian Zhang, Qiang Tang, Xianglun Zhang 等
2026-06-15T23:29:06Z
置信度 0.70
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Viktor Vozár, Apostolos Pappas, Alexander Yarovoy, Francesco Fioranelli
2026-06-10T19:58:55Z
置信度 0.70
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Jie Li
2025-10-29T17:46:40Z
置信度 0.70
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Li Yeding, Dai Jiyang
2021-09-06T21:44:22Z
置信度 0.70
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Alok Tibrewala
2026-02-23T20:46:42Z
置信度 0.70
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Mingqiu Ren, Bingqie Wang, Zhouyan Shi
2023-08-29T13:23:39Z
置信度 0.70
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The proliferation of unmanned aerial vehicle(UAV)swarmsasaerialbasestationsintroducesunprece dented flexibility for next-generation wireless networks, yet it simultaneously intensifies interference, energy constraints, and scalability challenges. This paper pr…
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Shujaat Ali, Asma Samah, Manzareen Mustafa, Nor Fadzilah Abdullah
2026-07-04T02:51:57Z
置信度 0.70
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Junming Diao
2024-12-31T14:54:42Z
置信度 0.70
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Unmanned aerial vehicle (UAV) swarm dynamic combat poses significant challenges due to its complexity and dynamism. This study introduces a novel approach that addresses these challenges through the development of a swarm maneuver decision method based on the …
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Yongbin Sun, Yu Chen, Chen Wei, Bin Li 等
2025-03-18T10:43:51Z
置信度 0.70
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Bowen Li, Xiaoting Ji, Yuanling Huang
2022-07-29T02:29:19Z
置信度 0.70
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Jindong Zhu, Yunfei Liu, Jiaxin Li, Xiaowei Fu
2022-07-29T03:16:37Z
置信度 0.70
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Xiaotian Xu, Billy Pik Lik Lau, Chau Yuen, Sirajudeen Gulam Razul 等
2025-01-10T20:38:31Z
置信度 0.70
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D.V. Taranov
2026-02-24T20:55:52Z
置信度 0.70
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crossref
Daison Darlan, Oladayo S. Ajani, Anand Paul, Rammohan Mallipeddi
2025-05-18T07:47:41Z
置信度 0.70
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crossref
Sudip Misra, Pallav Kumar Deb, Kartik Saini
2022-02-02T21:59:04Z
置信度 0.70
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Abib Mohammed Hamza, Mesmoudi Asma
2026-02-26T20:43:00Z
置信度 0.70
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In this paper, we attempt to deal with the routing problem in a cognitive unmanned aerial vehicle (UAV) swarm (CU-SWARM), which applies the cognitive radio into a swarm of UAVs within a three-hierarchical aerial-ground integrated network architecture for emerg…
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Long Zhang, Xiaozheng Ma, Zirui Zhuang, Haitao Xu 等
2022-03-17T10:41:55Z
置信度 0.70
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Li Ma, Bin Lin, Wen Zhang, Jingjing Tao 等
2022-11-04T01:28:38Z
置信度 0.70
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Tianpeng Zhang, Guizhou Liu
2026-07-21T19:06:01Z
置信度 0.70
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Hongqi Min, Xinrui Li, Yong Zeng
2026-03-19T20:04:01Z
置信度 0.70
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Dustin J. Nowak, Ian Price, Gary B. Lamont
2008-01-04T16:05:18Z
置信度 0.70
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Maciej Mazuro, Paweł Skokowski, Jan M. Kelner
2026-06-10T19:58:55Z
置信度 0.70
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In this paper, we attempt to deal with the routing problem in a cognitive unmanned aerial vehicle (UAV) swarm (CU-SWARM), which applies the cognitive radio into a swarm of UAVs within a three-hierarchical aerial-ground integrated network architecture for emerg…
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Long Zhang, Xiaozheng Ma, Zirui Zhuang, Haitao Xu 等
2022-04-06T23:39:32Z
置信度 0.70
-
crossref
Shahed Al Tamimi, Qasem Abu Al-Haija
2026-07-21T19:10:50Z
置信度 0.70
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Andreas Anastasiou, Savvas Papaioannou, Panayiotis Kolios, Christos G. Panayiotou
2025-10-14T17:38:09Z
置信度 0.70
-
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Zhe Xu, Jianjiang Zhou, Xiangming Zheng
2020-12-08T04:22:52Z
置信度 0.70
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J.S. Petko, D.H. Werner
2009-07-28T15:35:29Z
置信度 0.70
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Khalil Aloui, Moncef Hammadi, Amir Guizani, Mohamed Haddar 等
2022-05-16T16:45:11Z
置信度 0.70
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Shengwei Dong, Mingyan Jiang, Dongfeng Yuan
2020-09-09T16:45:38Z
置信度 0.70
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Jie-Tong Zou, Kuan-Ming Chen
2024-01-12T18:53:21Z
置信度 0.70
-
crossref
Hui Li, Teng Long, Guangtong Xu, Yangjie Wang
2020-02-14T08:25:50Z
置信度 0.70
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In this paper, we attempt to deal with the routing problem in a cognitive unmanned aerial vehicle (UAV) swarm (CU-SWARM), which applies the cognitive radio into a swarm of UAVs within a three-hierarchical aerial-ground integrated network architecture for emerg…
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Long Zhang, Xiaozheng Ma, Zirui Zhuang, Haitao Xu 等
2022-09-27T11:41:42Z
置信度 0.70
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crossref
Huanchi Wang, He Fang, Xianbin Wang
2021-11-08T23:22:03Z
置信度 0.70
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The rapidly growing demand for vast numbers of Internet of Things (IoT), in both urban and rural areas, necessitates their ceaseless and automatic energy supply. This is particularly vital in cases where the IoT sensors are deployed in inaccessible locations o…
crossref
Prodromos-Vasileios Mekikis, Pavlos Bouzinis, Nikos Mitsiou, Sotiris A. Tegos 等
2023-05-02T11:05:00Z
置信度 0.70
-
crossref
Guohong Li, Pengfei Wei, Weiyue Yang, Ran Gao
2022-03-14T22:38:14Z
置信度 0.70
-
During the First World War, the world experienced the innovation of what is called drone, as a tool of espionage. Today we talk about drone swarm, where multiple drones work together to achieve a common goal or task. The use of this type of aircraft has underg…
crossref
Montassar Abdenneji, Tijeni Delleji, Feten Slimeni
2026-04-02T15:21:44Z
置信度 0.70
-
crossref
Runfeng Chen, Jie Li, Yiting Chen, Yuchong Huang
2023-07-03T17:48:03Z
置信度 0.70
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crossref
Yen-Chin Wang, Danijela Cabric
2023-03-23T17:39:46Z
置信度 0.70
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Umut Aydemir, Sami Pekdemir, Fethi Candan
2026-02-26T09:04:57Z
置信度 0.70
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crossref
Artem Nikulin
2026-02-24T20:55:52Z
置信度 0.70
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<p>The rapidly growing demand for vast numbers of Internet of Things (IoT), in both urban and rural areas, necessitates their ceaseless and automatic energy supply. This is particularly vital in cases where the IoT sensors are deployed in inaccessible lo…
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Prodromos-Vasileios Mekikis, Pavlos Bouzinis, Nikos Mitsiou, Sotiris A. Tegos 等
2023-05-02T15:04:29Z
置信度 0.70
-
In this paper, we attempt to deal with the routing problem in a cognitive unmanned aerial vehicle (UAV) swarm (CU-SWARM), which applies the cognitive radio into a swarm of UAVs within a three-hierarchical aerial-ground integrated network architecture for emerg…
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Long Zhang, Xiaozheng Ma, Zirui Zhuang, Haitao Xu 等
2022-03-17T06:39:50Z
置信度 0.70
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Maher Aljehani, Masahiro Inoue, Taketoshi Yokemura
2021-05-13T19:57:02Z
置信度 0.70
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Zefang Lv, Guohang Niu, Liang Xiao, Chengwen Xing 等
2023-10-23T17:54:10Z
置信度 0.70
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Thiviyathinesvaran Palani, Hiroaki Fukushima, Shunsuke Izuhara
2023-07-03T13:48:03Z
置信度 0.70
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Chenfa Shi, Qijie Li, Zhi Xiong, Mingxing Chen 等
2025-08-28T15:50:12Z
置信度 0.70
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Xuanxuan Wang, Wei Feng, Yunfei Chen, Ning Ge
2020-02-28T09:59:24Z
置信度 0.70
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Shunzhang Wang, Xiaoqin Song, Yang Jiang, Lijuan Zhang 等
2020-06-23T20:44:52Z
置信度 0.70
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Yongje Shin, Hyun-Seok Choi, Youngju Nam, Euisin Lee
2024-12-18T19:40:41Z
置信度 0.70
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crossref
You HE
2020-06-17T02:53:20Z
置信度 0.70
-
In recent years, with the continuous development of UAV technology, the application of the UAV swarm in the military has been a global focus of research. Although it can bring a series of benefits in autonomous cooperation, the traditional UAV management techn…
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Pengbin Han, Aina Sui, Jiang Wu
2022-10-18T21:18:02Z
置信度 0.70
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Chengtao Xu, Kai Zhang, Houbing Song
2021-06-21T21:22:28Z
置信度 0.70
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Florian Fortmann, Andreas Ludtke
2013-10-17T21:49:48Z
置信度 0.70
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Heba El-Fiqi, Kathryn Kasmarik, Hussein A. Abbass
2021-03-19T14:07:40Z
置信度 0.70
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UAV swarm are often subjected to random interference or malicious attacks during the execution of their tasks, resulting in UAV failure or communication interruption. When the UAV swarm is out of interference or the repair command is executed, the performance …
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Pengtao Zhang, Tao Wu, Runhua Cao, Zi Li 等
2022-01-31T06:15:56Z
置信度 0.70
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Shreevanth Krishnaa Gopalakrishnan, Saba Al-Rubaye, Gokhan Inalhan
2021-11-15T17:56:19Z
置信度 0.70
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crossref
Liu Weitong, Lou Wenzhong, Wang Jinkui, Zhao Yueceng
2020-02-14T10:13:18Z
置信度 0.70
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Achieving scalable swarm autonomy in Global Navigation Satellite System (GNSS)-denied and communication-constrained environments remains an open challenge at the intersection of robotics, distributed optimization, and reinforcement learning. Existing unmanned …
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Nikolaos Almalis, George Tsihrintzis, George Baris, Nikolaos Armenakis
2026-07-13T08:05:31Z
置信度 0.70
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Jiachen Qian, Jue Wang, Shi Jin
2022-05-10T15:50:31Z
置信度 0.70
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Ai-Qing Tian, Fei-Fei Liu, Shao-Quan Ni, Jeng-Shyang Pan
2026-08-06T17:59:39Z
置信度 0.70
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Haifeng Zhu, Jinliang Li, Yang Gao, Guobing Cheng
2021-09-21T16:45:17Z
置信度 0.70
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Nickolay Pechurin, Lyudmila Kondratova
2024-01-05T19:29:24Z
置信度 0.70
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Ziwei Xin, Jie Li, Ziquan Wang, Juan Li
2022-07-29T03:16:37Z
置信度 0.70
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Jie Li, Xiaoyu Dang, Sai Li
2024-02-02T18:25:28Z
置信度 0.70