Laser & Optoelectronics Progress, Volume. 62, Issue 10, 1015010(2025)

Tightly Coupled SLAM Algorithm for Lidar-IMU Applicable to Semisolid Lidar

Fan Zhang and Wanyue Jiang*
Author Affiliations
  • Institute for Future, School of Automation, Qingdao University, Qingdao 266071, Shandong , China
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    Figures & Tables(10)
    Overall framework of our SLAM algorithm
    Collection system of our dataset. (a) UAV for data collection; (b) Vicon motion capture system
    Comparison of trajectors with different algorithms under VECtor dataset. (a) School dolly sequence;(b) school scooter sequence;(c) units dolly sequence; (c) units scooter sequence
    Output trajectory and map of our algorithm under VECtor dataset. (a) School dolly sequence; (b) school scooter sequence; (c) units dolly sequence;(d) units scooter sequence
    Experimental results under sequence vicon_1. (a) Output of rajectory and map by our algorithm; (b) comparison of trajectories between different algorithms
    Experimental results under sequence vicon_2. (a) Output of rajectory and map by our algorithm; (b) comparison of trajectories between different algorithms
    Comparison of real-time analysis for different algorithms
    • Table 1. Description of experimental data

      View table

      Table 1. Description of experimental data

      SequenceTrajectory length /mSpeed /(m/s)Scanning time /sLidar frameIMU frame
      School dolly1201.07112111622302
      School scooter1102.44454438856
      Units dolly2351.19197197139414
      Units scooter2402.35102101620306
      Vicon_1290.12254254350849
      Vicon_2170.46373697378
    • Table 2. Comparison of errors for different algorithms under VECtor dataset

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      Table 2. Comparison of errors for different algorithms under VECtor dataset

      SequenceOur algorithmiG-LIOLIO-SAMFAST-LIO2
      RMSEMaxRMSEMaxRMSEMaxRMSEMax
      School dolly0.1600.5790.3301.1820.2131.0550.2251.078
      School scooter0.1370.2340.2130.3340.1510.2590.2260.534
      Units dolly0.1450.4160.1240.287
      Units scooter0.1860.4070.8641.5240.1800.4201.8763.414
    • Table 3. Comparison of errors for different algorithms under our dataset

      View table

      Table 3. Comparison of errors for different algorithms under our dataset

      SequenceOur algorithmiG-LIOFAST-LIO2
      RMSEMaxRMSEMaxRMSEMax
      Vicon_10.0360.2730.1480.7670.0680.143
      Vicon_20.0410.2050.1830.6380.0610.131
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    Fan Zhang, Wanyue Jiang. Tightly Coupled SLAM Algorithm for Lidar-IMU Applicable to Semisolid Lidar[J]. Laser & Optoelectronics Progress, 2025, 62(10): 1015010

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    Paper Information

    Category: Machine Vision

    Received: Oct. 8, 2024

    Accepted: Nov. 26, 2024

    Published Online: Apr. 23, 2025

    The Author Email: Wanyue Jiang (jwy@qdu.edu.cn)

    DOI:10.3788/LOP242079

    CSTR:32186.14.LOP242079

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