Laser & Optoelectronics Progress, Volume. 62, Issue 10, 1015003(2025)

Dynamic ORB-SLAM3 Optimization Method for Adaptive Separation of Dynamic Targets

Tao Song*, Daiheng Yue, Yichen Yang, Ting Chen, and Yuan Gong
Author Affiliations
  • Chongqing Key Laboratory of Optical Fiber Sensing and Photoelectric Detection, Chongqing University of Technology, Chongqing 400542, China
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    References(25)

    [9] Yuan X Q. Research on dynamic environmental visual SLAM system and its application[D](2020).

    [17] Zeng X D, Fan S S, Xu S Z et al. Monocular Ⅵ-SLAM algorithm based on lightweight SuperPoint network in low-light environment[J]. Laser & Optoelectronics Progress, 61, 1815001(2024).

    [19] Tang J X, Ericson L, Folkesson J et al. GCNv2: efficient correspondence prediction for real-time SLAM[J]. IEEE Robotics and Automation Letters, 4, 3505-3512(2019).

    [22] Xiong W M. Improvement and evaluation of point feature extraction and registration algorithms based on visual SLAM[D](2023).

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    Tao Song, Daiheng Yue, Yichen Yang, Ting Chen, Yuan Gong. Dynamic ORB-SLAM3 Optimization Method for Adaptive Separation of Dynamic Targets[J]. Laser & Optoelectronics Progress, 2025, 62(10): 1015003

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    Paper Information

    Category: Machine Vision

    Received: Sep. 10, 2024

    Accepted: Nov. 5, 2024

    Published Online: Apr. 22, 2025

    The Author Email: Tao Song (tsong@cqut.edu.cn)

    DOI:10.3788/LOP241972

    CSTR:32186.14.LOP241972

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