Laser & Optoelectronics Progress, Volume. 57, Issue 6, 062802(2020)

Research on Laser Measurement Point Cloud Data Compensation and Pose Matching

Kang Wang1, Yanming Lü1,2、*, Fei Yuan2, Dongshuai Liu2, and Hua Yang2
Author Affiliations
  • 1College of Mechanical Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
  • 2Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment Technology, College of Mechanical Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
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    Figures & Tables(13)
    Laser measurement experiment platform
    Functional map of the laser measurement data acquisition system
    String height difference method
    Front view of measuring point cloud data hop processing
    Incident tilt angle error under standard reference distance
    Compensated point cloud data. (a) Leaf back point cloud data; (b) leaf basin point cloud data
    Data compensation effect chart
    Theoretical CAD model outline extraction
    Example of local contour optimization. (a) Example based on the leading edge contour; (b) example based on the trailing edge contour; (c) examples based on front and rear edge contours
    • Table 1. Aviation blade inclination compensation

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      Table 1. Aviation blade inclination compensation

      SerialnumberMeasurement /mmMeasuringdistance /mmΔd /mmΔx /mmInclination /(°)Compensationvalue /mmCorrectionvalue /mm
      1-1.5594148.44060.33740.629.36530.1208-2.3677
      2-1.2398148.76020.35010.630.27890.1267-2.0362
      3-0.9341149.06590.31960.628.05690.1129-1.6723
      707.8608157.86080.00950.880.61880.00477.8560
      717.8513157.85130.04130.882.68830.01267.8386
      727.8926157.89260.00690.880.44940.00407.8885
      1356.2546156.25460.06350.884.12930.01796.2366
      1366.1911156.19110.03890.882.53230.01216.1789
      1376.1522156.15220.09280.886.02290.02456.1276
    • Table 2. Algorithm examples based on local and global contours

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      Table 2. Algorithm examples based on local and global contours

      min F(R, T)θ /(°)tx /mmty /mm
      Leading edge1398.720.037090.564792.33445
      R0.9993120657415490.03708632178253410
      -0.03708632178253410.9993120657415490
      001
      Trailing edge162.234610.01034-0.051640.56403
      R0.9999464632399410.01034749505595800
      -0.01034749505595800.9999464632399410
      001
      Front andrear edge0.35663-3.57906×10-50.003110.00291
      R0.999999999359514-3.57906802125446×10-50
      3.57906802125446×10-50.9999999993595140
      001
      Front and rearedge, leaf back0.41309-1.60869×10-40.01215-0.03473
      R0.999999987060500-1.60869511642089×10-40
      -1.60869511642089×10-40.9999999870605000
      001
      Overall0.028669-8.10865×10-50.00573-0.01357
      R0.9999999967124898.10865132359233×10-50
      8.10865132359233×10-50.9999999967124890
      001
    • Table 3. Example of optimal contour matching algorithm

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      Table 3. Example of optimal contour matching algorithm

      Optimal matchingprofileLeadingedgeLeafbackTrailingedgeLeafpot
      Leading edge0.022894.270604.386164.32165
      Trailing edge1.162711.183900.028981.12234
      Front andrear edge0.029440.088640.032350.05120
      Front and rearedge, leaf back0.056380.049860.059230.08321
      Overall0.03240.07880.03620.0703
    • Table 4. Results comparison of motion parameters before and after improved particle swarm optimization

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      Table 4. Results comparison of motion parameters before and after improved particle swarm optimization

      Algorithmmin F(R, T)Ø /(°)φ /(°)θ /(°)tx /mmty /mmtz /mm
      Algorithmbeforeimprovement10.34999-0.00269-0.00006-0.00008-0.20599-1.001740.00433
      20.30949-0.00168-0.000290.00008-0.10075-0.632600.00297
      R0.999999823633103-8.1951572453×10-55.88232694803×10-4
      8.3531918857×10-50.9999963863074580.002687079165782
      5.88010358748×10-4-0.002687127828070.999996216786770
      Improvedalgorithm10.31707-0.00195-0.000370.00005-0.13089-0.031590.00390
      20.287380.000290.000090.000070.04131-0.065380.00061
      R0.999999993484091-6.739084572×10-5-9.2142784317×10-5
      6.7417921103×10-50.999999954547624-2.93869993549×10-4
      -9.2122975981×10-52.93876203709×10-40.999999952575066
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    Kang Wang, Yanming Lü, Fei Yuan, Dongshuai Liu, Hua Yang. Research on Laser Measurement Point Cloud Data Compensation and Pose Matching[J]. Laser & Optoelectronics Progress, 2020, 57(6): 062802

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jul. 11, 2019

    Accepted: Aug. 28, 2019

    Published Online: Mar. 6, 2020

    The Author Email: Lü Yanming (1318565903@qq.com)

    DOI:10.3788/LOP57.062802

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