A Comprehensive Survey of Visual SLAM Algorithms [PDF]
Robotics, 2022 Simultaneous localization and mapping (SLAM) techniques are widely researched, since they allow the simultaneous creation of a map and the sensors’ pose estimation in an unknown environment.
Andréa Macario Barros +4 more
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Visual-SLAM Classical Framework and Key Techniques: A Review [PDF]
Sensors, 2022 With the significant increase in demand for artificial intelligence, environmental map reconstruction has become a research hotspot for obstacle avoidance navigation, unmanned operations, and virtual reality.
Guanwei Jia +6 more
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OTE-SLAM: An Object Tracking Enhanced Visual SLAM System for Dynamic Environments [PDF]
Sensors, 2023 With the rapid development of autonomous driving and robotics applications in recent years, visual Simultaneous Localization and Mapping (SLAM) has become a hot research topic.
Yimeng Chang, Jun Hu, Shiyou Xu
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DOE-SLAM: Dynamic Object Enhanced Visual SLAM [PDF]
Sensors, 2021 In this paper, we formulate a novel strategy to adapt monocular-vision-based simultaneous localization and mapping (vSLAM) to dynamic environments. When enough background features can be captured, our system not only tracks the camera trajectory based on
Xiao Hu, Jochen Lang
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Panoramic Visual SLAM Technology for Spherical Images [PDF]
Sensors, 2021 Simultaneous Localization and Mapping (SLAM) technology is one of the best methods for fast 3D reconstruction and mapping. However, the accuracy of SLAM is not always high enough, which is currently the subject of much research interest. Panoramic vision
Yi Zhang, Fei Huang
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Robust visual SLAM algorithm based on target detection and clustering in dynamic scenarios [PDF]
Frontiers in NeuroroboticsWe propose a visual Simultaneous Localization and Mapping (SLAM) algorithm that integrates target detection and clustering techniques in dynamic scenarios to address the vulnerability of traditional SLAM algorithms to moving targets.
Fubao Gan +5 more
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ISFM-SLAM: dynamic visual SLAM with instance segmentation and feature matching [PDF]
Frontiers in NeuroroboticsIntroductionSimultaneous Localization and Mapping (SLAM) is a technology used in intelligent systems such as robots and autonomous vehicles. Visual SLAM has become a more popular type of SLAM due to its acceptable cost and good scalability when applied ...
Chao Li +4 more
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MINI-DROID-SLAM: Improving Monocular Visual SLAM Using MINI-GRU RNN Network [PDF]
SensorsRecently, visual odometry and SLAM (Simultaneous Localization and Mapping) have shown tremendous performance improvements compared to LiDAR and 3D sensor techniques.
Ismaiel Albukhari +2 more
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SEG-SLAM: Dynamic Indoor RGB-D Visual SLAM Integrating Geometric and YOLOv5-Based Semantic Information [PDF]
SensorsSimultaneous localisation and mapping (SLAM) is crucial in mobile robotics. Most visual SLAM systems assume that the environment is static. However, in real life, there are many dynamic objects, which affect the accuracy and robustness of these systems ...
Peichao Cong +4 more
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Collaborative visual SLAM for multiple agents:A brief survey
Virtual Reality & Intelligent Hardware, 2019 This article presents a brief survey to visual simultaneous localization and mapping (SLAM) systems applied to multiple independently moving agents, such as a team of ground or aerial vehicles, a group of users holding augmented or virtual reality ...
Danping Zou, Ping Tan, Wenxian Yu
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