Laser & Optoelectronics Progress, Volume. 62, Issue 10, 1015001(2025)

IMU/LiDAR Tightly Coupled Mobile Robot Localization and Mapping Algorithm

Bin Zhang, Xiaohui Xu, and Haihong Li*
Author Affiliations
  • School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, Shanxi , China
  • show less
    Figures & Tables(12)
    System framework
    Factor graph for tightly coupled integration of IMU and LiDAR
    Time-space threshold key frame selection strategy
    Local map construction method
    Simulation trajectories comparison of three algorithms. (a) Global trajectory; (b) starting trajectory; (c) corner trajectory; (d) straight trajectory
    z-axis trajectory of three algorithms
    Robot platform
    Trajectories comparison of two algorithms. (a) Global trajectory; (b) starting trajectory; (c) corner trajectory; (d) straight trajectory
    z-axis error of two algorithms without corner smoothing
    z-axis error of two algorithms with corner smoothing
    • Table 1. Absolute trajectory errors and runtime of each algorithm

      View table

      Table 1. Absolute trajectory errors and runtime of each algorithm

      IndexAlgorithm
      LEGO-LOAMLIO-SAMTSR-LIO-SAM
      Mean /m1.09230.46140.4301
      RMS /m1.18850.49100.4593
      Loop /s0.14550.26480.2618
      Map /s0.04570.05590.0564
    • Table 2. Indoor trajectory error and runtime of each algorithm

      View table

      Table 2. Indoor trajectory error and runtime of each algorithm

      IndexAlgorithm
      LEGO-LOAMLIO-SAMTSR-LIO-SAM
      Mean /m0.45230.11050.0997
      RMS /m0.48980.11430.1046
      Loop /s0.04620.07940.0801
      Map /s0.01370.01680.0179
    Tools

    Get Citation

    Copy Citation Text

    Bin Zhang, Xiaohui Xu, Haihong Li. IMU/LiDAR Tightly Coupled Mobile Robot Localization and Mapping Algorithm[J]. Laser & Optoelectronics Progress, 2025, 62(10): 1015001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Machine Vision

    Received: Sep. 18, 2024

    Accepted: Oct. 28, 2024

    Published Online: May. 6, 2025

    The Author Email: Haihong Li (haihongli@tyust.edu.cn)

    DOI:10.3788/LOP242011

    CSTR:32186.14.LOP242011

    Topics