Laser & Optoelectronics Progress, Volume. 62, Issue 8, 0815001(2025)

Lidar SLAM Algorithm Based on Point Cloud Geometry and Intensity Information

Long Peng1、*, Weigang Li1, Qifeng Wang1, and Huan Yi2
Author Affiliations
  • 1School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, Hubei , China
  • 2Hubei New Industry Technician Institute, Xianning 437000, Hubei , China
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    References(23)

    [1] Li K, Wang Z Y, Xi R X et al. Summary on the development of L4 class self-driving vehicles[J]. Special Purpose Vehicle, 4-7(2023).

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    [5] Liu Y, Jiao Y H, Ren C F. Visual SLAM method based on fuzzy image evaluation and feature matching improvement[J]. Laser & Optoelectronics Progress, 61, 2415006(2024).

    [6] Li K R, Li L G, He Z H et al. Laser SLAM method for nearshore unmanned boat based on embankment feature extraction[J]. Laser & Optoelectronics Progress, 61, 1428003(2024).

    [8] Hao Y, Zhang Y, Huang L et al. Mobile robot 2D laser simultaneous localization and mapping algorithm based on improved graph optimization[J]. Laser & Optoelectronics Progress, 62, 0215001(2025).

    [9] Zhang T X, Cai L M, Ouyang C Y et al. Mapping research based on solid-state LiDAR fusion with 2D LiDAR[J]. Laser & Optoelectronics Progress, 61, 0828006(2024).

    [17] Zhou Z G, Di S F. Lidar SLAM based on intensity scan context loop closure detection[J]. Journal of Chinese Inertial Technology, 30, 738-745(2022).

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    Long Peng, Weigang Li, Qifeng Wang, Huan Yi. Lidar SLAM Algorithm Based on Point Cloud Geometry and Intensity Information[J]. Laser & Optoelectronics Progress, 2025, 62(8): 0815001

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    Paper Information

    Category: Machine Vision

    Received: Aug. 13, 2024

    Accepted: Sep. 24, 2024

    Published Online: Mar. 24, 2025

    The Author Email:

    DOI:10.3788/LOP241834

    CSTR:32186.14.LOP241834

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