Research status and prospect of vision SLAM

Wu Fan
Zong Yantao
Tang Xiaqing
Dept. of Weapons & Control, Army Academy of Armored Forces, Beijing 100072, China

Abstract

Aiming at the problem of autonomous localization and environmental reconstruction, SLAM based on visual sensor has become a hot research topic at this stage. In order to deeply analyze the current situation of visual SLAM, this paper summarized the related algorithms and results. Firstly, it briefly summarized the concept, characteristics and research significance of visual SLAM. Then, it analyzed the visual odometry algorithm in depth, and described the classical visual odometry algorithms in detail, which included feature-based method, optical flow-based method and direct method, and introduced the landmark achievements of classical visual SLAM algorithm. Secondly, this paper introduced the research progress visual SLAM based on deep learning according to supervised learning and unsupervised learning, and summarized the algorithms. In addition, it analyzed the integration of visual SLAM and inertial navigation. Finally, it proposed the future development trend of visual SLAM.

Foundation Support

武器装备军内重点科研资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.02.0035
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 8
Section: Survey
Pages: 2248-2254
Serial Number: 1001-3695(2020)08-002-2248-07

Publish History

[2020-08-05] Printed Article

Cite This Article

吴凡, 宗艳桃, 汤霞清. 视觉SLAM的研究现状与展望 [J]. 计算机应用研究, 2020, 37 (8): 2248-2254. (Wu Fan, Zong Yantao, Tang Xiaqing. Research status and prospect of vision SLAM [J]. Application Research of Computers, 2020, 37 (8): 2248-2254. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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