Paper
7 September 2022 Review of visual SLAM
XiePing Gong, LiZhong Song, Yang Yin
Author Affiliations +
Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 1232917 (2022) https://doi.org/10.1117/12.2646825
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China
Abstract
Simultaneous localization and mapping (SLAM) based on vision is a research hot spot in the field of robotics. This paper first introduces the classic framework of visual SLAM, and analyzes the role of each module in the entire framework. Moreover, several classic visual SLAM algorithms are introduced, the principle of each algorithm is explained, the corresponding optimization scheme of each algorithm is given, and the advantages and disadvantages of monocular visual SLAM, stereo visual SLAM, and RGB-D visual SLAM are summarized. Additionally, the development of visual SLAM is prospected in this paper.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
XiePing Gong, LiZhong Song, and Yang Yin "Review of visual SLAM", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 1232917 (7 September 2022); https://doi.org/10.1117/12.2646825
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KEYWORDS
Visualization

Detection and tracking algorithms

Cameras

Sensors

Visual analytics

Motion estimation

Imaging systems

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