Laser & Infrared, Volume. 54, Issue 3, 380(2024)

The segment feature matching method for LiDAR based on Kalman fusion

CUI Geng-shen1, QIU De-xian2、*, KUANG Bing2, and HUANG Chun-de1
Author Affiliations
  • 1School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China
  • 2School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin 541004, China
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    References(6)

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    [8] [8] Ulas C, Temeltas H. A fast and robust feature-based scan-matching method in 3D slam and the effect of sampling strategies[J]. International Journal of Advanced Robotic Systems, 2013, 10(11): 396.

    [9] [9] Thrun S. Particle filters in robotics[C]//Proceedings of the UAI, F, 2002. Citeseer.

    [10] [10] Rublee, E., Rabaud, V., Konolige, K., et al. ORB: an efficient alternative to SIFT or SURF[C]//2011 International Conference on Computer Vision IEEE, 2011: 2564-2571.

    [11] [11] Lu F, Milios E. Robot pose estimation in unknown environments by matching 2D range scans[J]. Journal of Intelligent and Robotic Systems, 1997, 18: 249-275.

    [12] [12] Besl P J, McKay N D. Method for registration of 3-D shapes[C]//Sensor Fusion IV: Control Paradigms and Data Structures. Spie, 1992, 1611: 586-606.

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    CUI Geng-shen, QIU De-xian, KUANG Bing, HUANG Chun-de. The segment feature matching method for LiDAR based on Kalman fusion[J]. Laser & Infrared, 2024, 54(3): 380

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    Paper Information

    Category:

    Received: May. 16, 2023

    Accepted: Jun. 4, 2025

    Published Online: Jun. 4, 2025

    The Author Email: QIU De-xian (dakhinyau@mails.quet.edu.cn)

    DOI:10.3969/j.issn.1001-5078.2024.03.008

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