Optics and Precision Engineering, Volume. 32, Issue 6, 774(2024)

Line feature coplanar constraint calibration method for lidar point cloud of tunnel contour

Yaodong WANG1,2, Jinyang XU1,2、*, Liqiang ZHU1,2, Hongmei SHI1,2, and Yan FANG3
Author Affiliations
  • 1School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing00044, China
  • 2Frontiers Science Center for Smart High-Speed Railway System,Beijing Jiaotong University, Beijing100044, China
  • 3Beijing Special Machinery Research Institute, Beijing10014, China
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    Figures & Tables(18)
    System overall design
    Calibration algorithm
    Schematic diagram of coordinate transformation
    Rotation diagram of coordinate transformation
    Schematic diagram of ideal and actual calibration results
    Schematic diagram of data points on measurement lines
    Rendering before calibration and after calibration using genetic algorithm
    Rendering before calibration and after calibration using LM algorithm
    Simulated tunnel model
    Trolley and collection module
    Tunnel contour scanning in laboratory
    point cloud image of tunnel
    • Table 1. Transformation matrix parameters of lidars

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      Table 1. Transformation matrix parameters of lidars

      LiDARRotation matrixPan matrix
      10.320 00.952 0424.25
      -0.952 00.320 0320.00
      20.320 0-0.952 098.25
      0.952 00.320 0300.00
    • Table 2. Measured rail top height

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      Table 2. Measured rail top height

      Absolute error of

      the right rail

      Absolute error of

      the left rail

      Mean error0.7520.676
      10.5180.658
      20.9210.556
      30.6990.529
      40.8570.893
      50.7660.743
    • Table 3. Results of static measurement in simulation tunnel

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      Table 3. Results of static measurement in simulation tunnel

      Measured XMeasured YStandard XStandard YX ErrorY Error
      1-2 779.951 495.88-2 779.311 494.290.64-1.59
      2-2 780.321 492.46-2 779.771 494.290.551.83
      3-2 779.591 493.09-2 780.431 492.71-0.84-0.38
      4-2 779.851 494.69-2 780.581 493.28-0.73-1.41
      5-2 780.921 493.83-2 780.111 494.400.810.57
    • Table 4. Results of dynamic measurement in simulation tunnel

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      Table 4. Results of dynamic measurement in simulation tunnel

      Measured XMeasured YStandard XStandard YX ErrorY Error
      1-2 777.911 499.40-2 776.011 494.551.90-4.85
      2-2 779.651 494.55-2 778.091 499.551.565.00
      3-2 779.301 499.64-2 780.471 494.48-1.17-5.16
      4-2 778.151 494.58-2 776.331 497.601.823.02
      5-2 776.311 499.19-2 778.031 494.73-1.72-4.46
    • Table 5. Results of static measurement in tunnel

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      Table 5. Results of static measurement in tunnel

      Measured XMeasured YStandard XStandard YX ErrorY Error
      1-2 491.204 477.30-2 490.464 476.330.74-0.97
      2-2 492.034 477.48-2 491.404 478.640.631.16
      3-2 488.784 475.61-2 489.554 474.09-0.77-1.52
      4-2 491.784 481.59-2 492.354 480.96-0.57-0.63
      5-2 489.354 471.12-2 488.644 471.960.710.84
    • Table 6. Results of dynamic measurement in tunnel

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      Table 6. Results of dynamic measurement in tunnel

      Measured XMeasured YStandard XStandard YX ErrorY Error
      1-2 495.084 466.68-2 494.494 461.70.59-4.98
      2-2 494.214 458.38-2 495.244 463.57-1.035.19
      3-2 493.234 466.54-2 494.834 462.43-1.6-4.11
      4-2 492.354 470.82-2 493.734 464.84-1.38-5.98
      5-2 491.44 456.54-2 492.274 461.27-0.874.73
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    Yaodong WANG, Jinyang XU, Liqiang ZHU, Hongmei SHI, Yan FANG. Line feature coplanar constraint calibration method for lidar point cloud of tunnel contour[J]. Optics and Precision Engineering, 2024, 32(6): 774

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    Paper Information

    Category:

    Received: Jul. 29, 2023

    Accepted: --

    Published Online: Apr. 19, 2024

    The Author Email: Jinyang XU (22126064@bjtu.edu.cn)

    DOI:10.37188/OPE.20243206.0774

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