• Opto-Electronic Engineering
  • Vol. 51, Issue 4, 230279-1 (2024)
Wenxue Hu1, Zehua Wang2, Cheng Yu2, Kui Yang1, and Dongtai Liang1,*
Author Affiliations
  • 1School of Mechanical Engineering and Mechanics, Ningbo University, Ningbo, Zhejiang 315211, China
  • 2Quanhang Technology Co., Ltd., Ningbo, Zhejiang 315100, China
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    DOI: 10.12086/oee.2024.230279 Cite this Article
    Wenxue Hu, Zehua Wang, Cheng Yu, Kui Yang, Dongtai Liang. A laser inertial SLAM approach based on planar expansion and constrained optimization[J]. Opto-Electronic Engineering, 2024, 51(4): 230279-1 Copy Citation Text show less
    Algorithm flow chart
    Fig. 1. Algorithm flow chart
    Postural transformation
    Fig. 2. Postural transformation
    Comparison chart of iPCA-based planar optimization
    Fig. 3. Comparison chart of iPCA-based planar optimization
    Block diagram of tightly coupled nonlinear optimization
    Fig. 4. Block diagram of tightly coupled nonlinear optimization
    Plane constraints
    Fig. 5. Plane constraints
    Experimental hardware platform
    Fig. 6. Experimental hardware platform
    Realistic environments for different scenarios
    Fig. 7. Realistic environments for different scenarios
    Plane extraction. (a) Before extraction; (b) After extraction
    Fig. 8. Plane extraction. (a) Before extraction; (b) After extraction
    Comparison of the estimated trajectories of room_02 and hall_01 sequence algorithms with the real trajectories
    Fig. 9. Comparison of the estimated trajectories of room_02 and hall_01 sequence algorithms with the real trajectories
    Comparison between the estimated trajectory of the Indoor_01 sequence algorithm and the actual trajectory
    Fig. 10. Comparison between the estimated trajectory of the Indoor_01 sequence algorithm and the actual trajectory
    Running time analysis of each part of this algorithm
    Fig. 11. Running time analysis of each part of this algorithm
    SceneParametersPredictedTrue
    Scene 1High/mm297729752972297829682970
    Width/mm176917701764175717581760
    Angle_h/°0.0590.0710.0780.0430.0270
    Angle_w/°0.4160.1550.0020.2640.0170
    Scene 2High/mm311931203117311731263125
    Width/mm180218111813180818021810
    Angle_h/°0.0990.0990.1550.0040.0030
    Angle_w/°1.2440.31500.0930.0510
    Table 1. Comparison of predicted and true values for planar extraction
    SequenceRuntime/sfaster-lioLIO-SAMOurs
    RMSEMEANRMSEMEANRMSEMEAN
    room_01720.1620.2330.2130.1790.2370.210
    room_02750.3360.3130.4280.3350.3540.322
    hall_013510.2410.1920.2290.1890.1090.095
    hall_054021.0620.9801.2251.1221.0610.952
    room_dark_011110.1590.1460.2630.2440.1330.120
    room_dark_051590.3010.2640.5320.4490.3100.298
    Table 2. Comparison of absolute trajectory error and mean between this algorithm and the comparison algorithm (unit: m)
    SequenceFaster-lioOurs
    RMSEMEANRMSEMEAN
    Indoor_010.8370.6870.3190.282
    Table 3. Comparison of absolute trajectory error and mean between this algorithm and the comparison algorithm (unit: m)
    Wenxue Hu, Zehua Wang, Cheng Yu, Kui Yang, Dongtai Liang. A laser inertial SLAM approach based on planar expansion and constrained optimization[J]. Opto-Electronic Engineering, 2024, 51(4): 230279-1
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