• Infrared and Laser Engineering
  • Vol. 52, Issue 9, 20220839 (2023)
Ronghua Li, Yufeng Qi, Hui Xie, and Xingyuan Han
Author Affiliations
  • School of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, China
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    DOI: 10.3788/IRLA20220839 Cite this Article
    Ronghua Li, Yufeng Qi, Hui Xie, Xingyuan Han. Tightly coupled LiDAR SLAM method for unknown environment[J]. Infrared and Laser Engineering, 2023, 52(9): 20220839 Copy Citation Text show less
    Framework of tightly coupled laser SLAM algorithm
    Fig. 1. Framework of tightly coupled laser SLAM algorithm
    Cumulative error of the odometer
    Fig. 2. Cumulative error of the odometer
    Loop detection of variable threshold
    Fig. 3. Loop detection of variable threshold
    Experimental robot platform
    Fig. 4. Experimental robot platform
    Long corridor environment
    Fig. 5. Long corridor environment
    Algorithm comparison experiment
    Fig. 6. Algorithm comparison experiment
    Comparison of experimental results of fast rotating scene
    Fig. 7. Comparison of experimental results of fast rotating scene
    ItemProposedLIO-SAMA-LOAM
    Odometry drift/m0.121.344.56
    Scene restoration degree99.71%98.25%94.06%
    Table 1. Algorithm performance comparision
    Algorithm /Fact Loop closureNot loop closure
    Loop closureTPFP
    Not loop closureFNTN
    Table 2. Evaluation parameters of loop detaction
    Drift/mProposedLIO-SAM
    precisionrecallprecisionrecall
    0-520/2020/2020/2020/20
    5-1020/2020/2014/1414/20
    10-1519/1919/204/44/20
    Table 3. Comparison of loop detection results
    DatasetA-LOAM /ms LIO-SAM /ms Proposed /ms
    Long corridor22.412.213.4
    Fast rotating scene I139.267.667.8
    Fast rotating scene II99.658.358.7
    Fast rotating scene III114.757.157.6
    Fast rotating scene IV92.058.158.5
    Fast rotating scene V198.263.664.0
    Fast rotating scene VI294.457.858.1
    Table 4. Comparison of single frame run time
    Ronghua Li, Yufeng Qi, Hui Xie, Xingyuan Han. Tightly coupled LiDAR SLAM method for unknown environment[J]. Infrared and Laser Engineering, 2023, 52(9): 20220839
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