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• Study on the Influence of Image Noise on Monocular Feature-Based Visual SLAM Based on FFDNet.
  europepmc 2020 置信度 0.80
• Real-Time Photometric Calibrated Monocular Direct Visual SLAM.
  europepmc 2019 置信度 0.80
• DMS-SLAM: A General Visual SLAM System for Dynamic Scenes with Multiple Sensors.
  europepmc 2019 置信度 0.80
• Dense Visual SLAM with Probabilistic Surfel Map.
  europepmc 2017 置信度 0.80
• Improved Point-Line Feature Based Visual SLAM Method for Indoor Scenes.
  europepmc 2018 置信度 0.80
• Enhancing Dynamic SLAM with Point-Line Feature Fusion and Object-Level Tracking
  europepmc 2026 置信度 0.80
• DOE-LVI: Tightly Coupled LiDAR-Visual-Inertial SLAM System with Dynamic Object Elimination.
  europepmc 2026 置信度 0.80
• RGB-D SLAM: A Review of Methods and Performance Trade-Offs for Different Requirements.
  europepmc 2026 置信度 0.80
• DMSG-SLAM: Cascaded Semantic and Geometric Filtering for RGB-D Tracking and Mapping in Dynamic Environments.
  europepmc 2026 置信度 0.80
• Visual SLAM and visual odometry with semantic-based filtering of dynamic objects
  crossref Leonardo Rezende Costa 2025-11-13T13:01:46Z 置信度 0.70
• Understanding Visual SLAM
  crossref Jingao Xu, Zheng Yang, Yunhao Liu, Hao Cao 2024-07-29T07:46:46Z 置信度 0.70
• LIFT-SLAM
  crossref Hudson Martins Silva Bruno 2021-03-22T12:53:44Z 置信度 0.70
• Slam-Vii: Slam-Centric Visual Inspections of Infrastructure
  crossref Nicholas Charron, Jake McLaughlin, Sriram Narasimhan 2025-04-12T21:42:14Z 置信度 0.70
• EdgeSLAM 1.0: Architectural Innovations in Mobile Visual SLAM
  crossref Jingao Xu, Zheng Yang, Yunhao Liu, Hao Cao 2024-07-29T07:46:46Z 置信度 0.70
• CHAMELEON-SLAM: Adaptive Feature Selection and Uncertainty-Aware Matching for Robust Monocular Visual SLAM
  Visual SLAM systems employ fixed feature extractors regardless of scene content. This is suboptimal: hightexture outdoor environments favor fast, sparse features, while low-texture indoor scenes or motion-blurred frames demand denser or more robust alternative…
  crossref Shahram Najam Syed 2026-02-27T22:12:16Z 置信度 0.70
• VI-NeRF-SLAM: A Real-time Visual-Inertial SLAM with NeRF Mapping
  Abstract In numerous robotic and autonomous driving tasks, traditional visual SLAM algorithms estimate the camera's position in a scene through sparse feature points and express the map by estimating the depth of sparse point clouds. However,practical applicat…
  crossref DaoQing Liao, Wei Ai 2023-12-08T19:57:02Z 置信度 0.70
• GO-SLAM: GPS-aided Visual SLAM for Adaptive UAV Navigation in Outdoor-Indoor Environments
  <p>This paper proposes a global positioning system (GPS)-aided visual simultaneous localization and mapping (SLAM) called GO-SLAM for adaptive UAV navigation. The proposed system offers a solution by the method to address the adaptive navigation challeng…
  crossref Muhammad Wicaksono, Soo Young Shin 2023-08-14T17:52:05Z 置信度 0.70
• ORB-LINE-SLAM: An Open-Source Stereo Visual SLAM System with Point and Line Features
  <p>This paper presents ORB-LINE-SLAM, a real-time hybrid point-line and only-line based visual SLAM system for stereo cameras which can operate in standard CPUs. This work is based on the ORB-SLAM3 open-source library, which is here expanded and adapted …
  crossref Ioannis Alamanos, Costas Tzafestas 2022-12-11T16:15:09Z 置信度 0.70
• Introduction to SLAM
  crossref Xiang Gao, Tao Zhang 2021-09-28T18:33:52Z 置信度 0.70
• Rwt-Slam: Robust Visual Slam for Weakly Textured Environments
  crossref Qihao Peng, Zhiyu Xiang, Xijun Zhao, Yuangang Fan 等 2023-07-18T20:19:38Z 置信度 0.70
• Visual SLAM Based on Dynamic Object Removal
  Visual simultaneous localization and mapping (SLAM) is the core of intelligent robot navigation system. Many traditional SLAM algorithms assume that the scene is static. When a dynamic object appears in the environment, the accuracy of visual SLAM can degrade …
  crossref Guoliang Liu 2020-01-22T18:38:46Z 置信度 0.70
• Semantic Scene Graph and Multi-agent Visual SLAM
  crossref Chuhao Liu 2025-07-29T08:00:35Z 置信度 0.70
• HDC-SLAM: A Lightweight Semantic Visual SLAM for Dynamic Environments
  Most existing dynamic Simultaneous Localization and Mapping (SLAM) methods, when integrating neural networks, typically rely on high-performance computing support, and their tracking threads often need to wait for semantic results. This paper proposes a SLAM a…
  crossref Wenyi LI, Xu ZHANG, Lin JIANG, Di AO 等 2026-04-23T14:52:01Z 置信度 0.70
• Fast and robust visual SLAM for dynamic environments
  crossref Gaurav Singh 2022-03-06T05:13:46Z 置信度 0.70
• On-camera Hardware Accelerated Visual SLAM
  crossref Saratchandran Rodin Rodin Nagaya 2024-04-30T14:06:06Z 置信度 0.70
• Lgu-Slam: Learnable Gaussian Uncertainty Matching with Deformable Correlation Sampling for Deep Visual Slam
  crossref Yucheng Huang, Luping Ji, Hudong Liu 2025-03-03T16:11:32Z 置信度 0.70
• Robust visual SLAM for autonomous vehicles in challenging environments
  crossref Tete Ji 2023-01-03T05:01:31Z 置信度 0.70
• D3VIL-SLAM: 3D Visual Inertial LiDAR SLAM for Outdoor Environments
  crossref Matteo Frosi, Matteo Matteucci 2023-07-27T17:20:05Z 置信度 0.70
• Video for Towards An Indoor Navigation System Using Monocular Visual SLAM
  crossref 2021-12-17T15:37:42Z 置信度 0.70
• Visual and lidar-based SLAM by variational bayesian methods
  crossref Xiaoyue Jiang 2020-10-28T06:55:20Z 置信度 0.70
• SegGeo-SLAM: A real-time Visual SLAM system for dynamic environments
  crossref Zhaoqian Jia, Yixiao Ma, Nan Zhou, Guangqiang Yin 等 2025-10-30T17:00:02Z 置信度 0.70
• VISUAL SLAM IN DYNAMIC ENVIRONMENTS USING PANOPTIC SEGMENTATION
  crossref GABRIEL FISCHER ABATI 2023-08-11T17:30:12Z 置信度 0.70
• Robust Visual SLAM Algorithm Using QR Code-based Visual Place Recognition
  crossref Minsu Jo, HyungGi Jo 2024-06-10T21:17:05Z 置信度 0.70
• Techniques for a failsafe visual inertial SLAM system
  crossref Manohar Prakash Kuse 2020-07-10T02:35:08Z 置信度 0.70
• Dynamic SLAM: A Visual SLAM in Outdoor Dynamic Scenes
  europepmc 2023 置信度 0.80
• Dofe-Slam: Depth-Guided Optical Flow Estimation in Frequency Domain for Deep Visual Slam
  crossref Yucheng Huang, Luping Ji, Weiwei Duan, Hudong Liu 2025-05-07T23:37:40Z 置信度 0.70
• Bridging the divide between Visual Place Recognition and SLAM
  This thesis explores using filtering and optimisation methods from the simultaneous localisation and mapping literature to solve the visual place recognition problem. The proposed methods address the problems of uncertainty quantification during localisation, …
  crossref Mingda Xu 2023-06-26T02:23:32Z 置信度 0.70
• BIM-vSLAM: Drift-free Visual SLAM Leveraging Digital Building Model
  crossref Xiao Zhang 2025-09-18T23:10:36Z 置信度 0.70
• SD-SLAM: Visual SLAM Combining Semantic Segmentation and Dynamic Feature Point Detection
  crossref Yu Zhang, Xuedong Wu 2024-03-19T18:04:17Z 置信度 0.70
• Robustness of Visual SLAM techniques to light changing conditions
  Robustness of visual SLAM techniques to light changing conditions La technique SLAM (Simultaneous Localization And Mapping) se concentre sur la localisation et la récupération de l’environnement et est l’une des fonctionnalités de base de nombreux produits ind…
  crossref Xi Wang 2026-04-07T03:09:23Z 置信度 0.70
• APPLICATION OF VISUAL INERTIAL SLAM ALGORITHM FOR AUTONOMOUS ROBOT NAVIGATION
  This work investigates the application of the Visual-Inertial SLAM (Simultaneous Localization and Mapping) algorithm for the navigation of an autonomous robot. With the development of autonomous navigation technologies, there is a need for effective methods th…
  crossref Anatoliy Zharkov, Roman Maslii 2024-12-29T21:54:27Z 置信度 0.70
• Visual SLAM with automatic map update in dynamic environments
  SLAM Visuel avec mise à jour automatique de la carte dans un environnement dynamique Les changements d'apparence sont l'un des problèmes les plus difficiles pour la localisation visuelle d'un véhicule autonome dans des environnements extérieurs. L'association …
  crossref Youssef Bouaziz 2026-04-06T20:47:29Z 置信度 0.70
• Switch-SLAM: Switching-Based LiDAR-Inertial-Visual SLAM for Degenerate Environments_supp1-3421792.mp4
  crossref Junwoon Lee 2024-07-03T13:39:01Z 置信度 0.70
• Snake-SLAM: Efficient Global Visual Inertial SLAM using Decoupled Nonlinear Optimization
  crossref Darius Ruckert, Marc Stamminger 2021-08-11T00:47:30Z 置信度 0.70
• Simulation Evaluation of Monocular Visual SLAM: ORB-SLAM3, DROID-SLAM, DPVO, and DPV-SLAM
  crossref Kazuki Adachi, Yoshitaka Hara, Sousuke Nakamura 2025-12-01T18:23:45Z 置信度 0.70
• MGS-SLAM: Monocular 3D Gaussian splatting SLAM with significance-guided pruning
  crossref Tongtai Cao, Shi-Sheng Huang, Kaiyue Guo, Hao Sha 等 2026-07-24T19:09:14Z 置信度 0.70
• CP-SLAM: Real-Time Visual SLAM Based on Continuous Probability Map
  crossref Bonian Li, Xianwei Meng 2023-06-20T13:22:50Z 置信度 0.70
• Focus-SLAM: A visual Monocular SLAM
  Abstract This research presents a novel simultaneous localization and mapping algorithm, called Focus-SLAM, which simulates human navigation strategies by synthesizing a optical saliency model, SalNavNet, in a traditional single-shot SLAM paradigm. SalNavNet i…
  crossref Haohui Yin 2024-09-19T16:33:18Z 置信度 0.70
• Visual SLAM
  crossref 2014-06-06T05:20:21Z 置信度 0.70
• Optimization of visual SLAM by semantic analysis of the environment
  Optimisation du SLAM visuel par analyse sémantique de l'environnement réel Le but du SLAM (Simultaneous Localization And Mapping) est d'estimer la trajectoire d'une caméra en mouvement tout en cartograhiant l'espace. Les algorithmes classiques construisent gén…
  crossref Mathieu Gonzalez 2026-04-07T07:57:35Z 置信度 0.70
• Edge SLAM: Edge Points Based Monocular Visual SLAM
  crossref Soumyadip Maity, Arindam Saha, Brojeshwar Bhowmick 2018-01-22T17:42:32Z 置信度 0.70
• Optimizing Visual SLAM for Robust and Scalable Mobile Robot Navigation
  crossref Kaiyu Xu 2025-12-29T14:32:51Z 置信度 0.70
• YD-SLAM: An Visual SLAM Based on Object Detection in Dynamic Environment
  crossref Jialong Shu, Xin Sun, Kaixiang Yi 2024-03-19T14:04:17Z 置信度 0.70
• Visual SLAM for humanoid robot localization and closed-loop control
  SLAM visuel pour la localisation et la commande en boucle fermée de robots humanoïdes Cette thèse traite du problème de localisation et contrôle de robots humanoïdes par rapport à leur environnement, tel qu'observé par ses capteurs embarqués. Le SLAM visuel de…
  crossref Arnaud Tanguy 2026-04-03T06:52:28Z 置信度 0.70
• Separated-SLAM: a visual-inertial SLAM with adaptive atlas fusion and tracking mode switching for indoor scenes
  crossref Xiangjun Zhang, Guoshu Huang, Xungang Yin, Zhixuan Zhang 2025-12-13T07:32:32Z 置信度 0.70
• A Comparison of Outdoor 3D Reconstruction between Visual SLAM and LiDAR SLAM
  crossref Yi-Tian Hong, Han-Pang Huang 2023-11-27T14:36:17Z 置信度 0.70
• ViSTA-SLAM: Visual SLAM with Symmetric Two-View Association
  crossref Ganlin Zhang, Shenhan Qian, Xi Wang, Daniel Cremers 2026-05-27T19:40:49Z 置信度 0.70
• Comprehensive integration and exploitation of multimodal camera data in visual SLAM
  Intégration et exploitation complètes des données de caméras multimodales dans le SLAM visuel Cette thèse porte sur la cartographie et la localisation simultanées visuelles (SLAM) appliquées à la robotique autonome et vise à proposer une approche méthodologiqu…
  crossref Eva Goichon 2026-04-27T13:38:20Z 置信度 0.70
• MINI-DROID-SLAM: Improving Monocular Visual SLAM Using MINI-GRU RNN Network.
  europepmc 2025 置信度 0.80
• SLAM: Decentralized and Distributed Collaborative Visual-Inertial SLAM System for Aerial Swarm_supp1-3422003.mp4
  crossref Hao XU 2024-07-15T15:25:00Z 置信度 0.70
• Dynamic SLAM system for hospital logistics robots based on nonlinear optimal filtering and deep learning
  crossref Feng Xiao, Jie Fang, Xing Guo, Youhai Zhang 等 2025-05-20T19:21:49Z 置信度 0.70
• On combining visual SLAM and visual odometry
  crossref Brian Williams, Ian Reid 2010-07-22T12:07:20Z 置信度 0.70
• IMPROVING VISUAL SLAM BY COMBINING DEPTH ESTIMATION, SEMANTIC SEGMENTATION, AND DYNAMIC OBJECT REMOVAL USING VISUAL FOUNDATION MODELS
  crossref PEDRO THIAGO CUTRIM DOS SANTOS 2024-11-29T14:16:10Z 置信度 0.70
• Saliency-SLAM: saliency prediction for visual SLAM
  crossref S. Jin, Q. Meng 2023-12-04T20:08:37Z 置信度 0.70
• Visual Odometry: Part I
  crossref Xiang Gao, Tao Zhang 2021-09-28T18:33:52Z 置信度 0.70
• ECA-SLAM: A Visual SLAM Utilizing Depth Features and Attention Mechanism
  crossref Wenjie Deng, Yun Tie, Lin Qi 2024-09-09T17:35:05Z 置信度 0.70
• Visual Odometry: Part II
  crossref Xiang Gao, Tao Zhang 2021-09-28T18:33:52Z 置信度 0.70
• Practice: Stereo Visual Odometry
  crossref Xiang Gao, Tao Zhang 2021-09-28T18:33:52Z 置信度 0.70
• PPS-SLAM: Dynamic Visual SLAM with a Precise Pruning Strategy
  crossref Wei Qian, Hongyu Zhang, Jiansheng Peng 2024-11-22T04:07:11Z 置信度 0.70
• DRM-SLAM: Robust Visual SLAM Based on Dynamic Region Mask for Dynamic Scenes
  crossref NaiGong Yu, Yang Wang, Nan Ma, Gao Huang 2024-03-19T18:04:17Z 置信度 0.70
• LIFT-SLAM: A deep-learning feature-based monocular visual SLAM method
  crossref Hudson Martins Silva Bruno, Esther Luna Colombini 2021-05-18T09:48:47Z 置信度 0.70
• ASD-SLAM: A Novel Adaptive-Scale Descriptor Learning for Visual SLAM
  crossref Taiyuan Ma, Yafei Wang, Zili Wang, Xulei Liu 等 2021-01-10T07:14:14Z 置信度 0.70
• Visual SLAM for Fisheye Lens Using O2RB Feature
  crossref Seok-Un Kang, Eun-Jong Lee, Sung-Soo Hwang 2022-04-12T02:33:52Z 置信度 0.70
• CVI-SLAM—Collaborative Visual-Inertial SLAM
  crossref Marco Karrer, Patrik Schmuck, Margarita Chli 2018-05-16T18:49:30Z 置信度 0.70
• Visual SLAM, planning, and control
  crossref Rahul Kala 2023-09-22T04:25:08Z 置信度 0.70
• REAL-TIME METRIC-SEMANTIC VISUAL SLAM FOR DYNAMIC AND CHANGING ENVIRONMENTS
  crossref JOAO CARLOS VIRGOLINO SOARES 2022-07-08T18:58:50Z 置信度 0.70
• GCV-SLAM: Ground Constrained Visual SLAM Through Local Ground Planes
  crossref Yu Fan, Peng Zhang, Zhi Wang, Chengbao Liu 等 2024-01-08T14:57:22Z 置信度 0.70
• UNF-SLAM: Unsupervised Feature Extraction Network for Visual-Laser Fusion SLAM
  crossref Jiahui Xu, Jiaru Zhong, Yu Huang, Yingxin Liu 2022-12-29T18:46:01Z 置信度 0.70
• UVS: underwater visual SLAM—a robust monocular visual SLAM system for lifelong underwater operations
  Abstract In this paper, a visual simultaneous localization and mapping (VSLAM/visual SLAM) system called underwater visual SLAM (UVS) system is presented, specifically tailored for camera-only navigation in natural underwater environments. The UVS system is pa…
  crossref Marco Leonardi, Annette Stahl, Edmund Førland Brekke, Martin Ludvigsen 2023-09-22T18:02:10Z 置信度 0.70
• Introduction to Visual SLAM
  crossref Xiang Gao, Tao Zhang 2021-09-28T18:33:52Z 置信度 0.70
• QCG-SLAM: Quadtree-based Condensed Gaussian Splatting for Visual SLAM
  crossref Xun Fang, Zixuan Hua, Xiao Zhao, Lihua Zhang 2025-10-30T17:57:42Z 置信度 0.70
• H-SLAM: Hybrid direct–indirect visual SLAM
  crossref Georges Younes, Douaa Khalil, John Zelek, Daniel Asmar 2024-06-06T10:58:59Z 置信度 0.70
• ObVi-SLAM: Long-Term Object-Visual SLAM_supp1-3363534.mp4
  crossref Amanda Adkins 2024-02-08T13:56:39Z 置信度 0.70
• YOLOv5s-SLAM: A Monocular Visual SLAM method in Dynamic Environments
  crossref Zhenyu Yin, Dan Feng, Chao Fan, Xiaohui Wang 2024-04-30T17:31:27Z 置信度 0.70
• LDFE-SLAM: Light-Aware Deep Front-End for Robust Visual SLAM Under Challenging Illumination
  Visual SLAM systems face significant performance degradation under dynamic lighting conditions, where traditional feature extraction methods suffer from reduced keypoint detection and unstable matching. This paper presents LDFE-SLAM, a novel visual SLAM framew…
  crossref Cong Liu, You Wang, Weichao Luo, Yanhong Peng 2025-12-31T16:08:00Z 置信度 0.70
• COP-SLAM: Closed-Form Online Pose-Chain Optimization for Visual SLAM
  crossref Gijs Dubbelman, Brett Browning 2015-09-18T18:58:02Z 置信度 0.70
• SLAM COM ODOMETRIA VISUAL E LIDAR 2D EM UM ROBÔ MÓVEL COMPACTO
  crossref LUCAS SIMOES DE ALMEIDA 2024-05-17T18:49:57Z 置信度 0.70
• Det-SLAM: A semantic visual SLAM for highly dynamic scenes using Detectron2
  crossref Ali Eslamian, Mohammad Reza Ahmadzadeh 2023-02-22T18:24:55Z 置信度 0.70
• OA-SLAM: Leveraging Objects for Camera Relocalization in Visual SLAM
  crossref Matthieu Zins, Gilles Simon, Marie-Odile Berger 2022-12-27T18:29:59Z 置信度 0.70
• Visual Slam Combining Lines and Structural Regularities: Towards Robust Perception
  crossref Weiqiang Zhao, Hang Sun 2023-04-14T13:52:39Z 置信度 0.70
• Autoloop: Fast Visual Slam Fine-Tuning Through Agentic Curriculum Learning
  crossref Assaf Lahiany, Oren Gal 2025-03-26T14:48:25Z 置信度 0.70
• Yog-Slam: A Visual Slam Based on Deep Learning for Indoor Dynamic Environments
  crossref Jun Min, Chunfeng Zhang, Yihan Song, Hui Zhao 等 2025-08-18T17:46:46Z 置信度 0.70
• SFSE-SLAM: Semantic-Geometric Feature Filtering and Texture-Aware Feature Compensation for Robust Visual SLAM in Dynamic Indoor Scenes
  europepmc 2026 置信度 0.80
• A Comparative Study of Visual and Visual-inertial SLAM
  crossref X. Xu, C. Yuan, Z. Li 2020-12-30T15:05:53Z 置信度 0.70
• Robust and Dense Visual SLAM for Robot-assisted Minimally Invasive Orthopaedic Procedures
  crossref Andres F Marmol Velez 2019-09-10T22:09:48Z 置信度 0.70
• MDP-SLAM: A Visual SLAM towards a Dynamic Indoor Scene Based on Adaptive Mask Dilation and Dynamic Probability
  Visual simultaneous localization and mapping (SLAM) algorithms in dynamic scenes will apply the moving feature points to the camera pose’s calculation, which will cause the continuous accumulation of errors. As a target-detection tool, mask R-CNN, which is oft…
  crossref Xiaofeng Zhang, Zhengyang Shi 2024-04-15T03:56:13Z 置信度 0.70
• DVSG-SLAM: Dynamic Visual SLAM Based on semantic and geometric information
  crossref Mingxing He, Qi Ouyang, Xinglan Zhang 2025-10-01T17:37:15Z 置信度 0.70
• B-SLAM-SIM: A Novel Approach to Evaluate the Fusion of Visual SLAM and GPS by Example of Direct Sparse Odometry and Blender
  crossref Adam Kalisz, Florian Particke, Dominik Penk, Markus Hiller 等 2023-05-15T16:42:35Z 置信度 0.70
• SPTNet: SuperPoint Tracking Network for Visual SLAM.
  europepmc 2026 置信度 0.80
• Robust visual SLAM based on heterogeneous feature data association.
  europepmc 2026 置信度 0.80