Laser & Optoelectronics Progress, Volume. 61, Issue 24, 2428013(2024)

Visual SLAM Algorithm Combining Image Brightness Enhancement Module and IMU Information

Bo Wang*, Danfeng Shen, and Pengfei Bai
Author Affiliations
  • School of Mechanical and Electrical Engineering, Xi'an Polytechnic University, Xi'an 710048, Shaanxi , China
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    References(24)

    [1] Wei Z F, Fan S S, Xiong M X. LiDAR inertial SLAM algorithm based on IESKF with factor graph optimization[J]. Laser & Optoelectronics Progress, 61, 1615007(2024).

    [10] Ma Y T, Liu F, Wang J et al. An adaptive visual SLAM positioning method considering brightness characteristics of images[J]. Science of Surveying and Mapping, 48, 42-50(2023).

    [11] Li P, Cao C C. ORB-SLAM algorithm for low light environment[J]. Journal of Beijing University of Posts and Telecommunications, 47, 106-111(2024).

    [16] 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).

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    Bo Wang, Danfeng Shen, Pengfei Bai. Visual SLAM Algorithm Combining Image Brightness Enhancement Module and IMU Information[J]. Laser & Optoelectronics Progress, 2024, 61(24): 2428013

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Apr. 24, 2024

    Accepted: May. 20, 2024

    Published Online: Dec. 17, 2024

    The Author Email:

    DOI:10.3788/LOP241164

    CSTR:32186.14.LOP241164

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