Infrared and Laser Engineering, Volume. 50, Issue 9, 20200431(2021)

Improved registration algorithm for spatial non-cooperative target point cloud clustering

Qi Lu1... Tingting Lin1, Pengcheng Li2, Ronghua Li1,* and Yanjun Ge1 |Show fewer author(s)
Author Affiliations
  • 1Institute of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, China
  • 2SIASUN Robot & Automation CO., Ltd,Shenyang 110000, China
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    Figures & Tables(15)
    Positional relationship of measurable points in radar coordinate system
    Spatial non-cooperative target simulation visual point cloud
    Regional growth clustering results
    Color visual point cloud
    Boundary extraction result
    Clustering results of the proposed algorithm
    Small-scale distinctive feature point cloud
    Pitch angle registration error
    Yaw angle registration error
    Roll angle registration error
    Algorithm consumes time
    • Table 1. Registration results of proposed algorithm

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      Table 1. Registration results of proposed algorithm

      GroupsThree axis translation distance
      dx/mm dy/mm dz/mm
      21-20−0.4724−0.52631.0306
      22-21−1.22400.63750.4955
      23-22−0.1181−0.30580.7028
      ............
      48-470.5716−1.08550.3489
      49-48−0.97712.6975−0.3801
      50-49−0.19050.9025−0.4344
      GroupsThree axis rotation angle
      ax/(°) ay/(°) az/(°)
      21-20−0.00674.4969−0.3413
      22-21−0.25734.59630.8183
      23-22−0.26534.90131.0290
      ............
      48-47−0.01734.6220−0.2492
      49-480.21484.8584−0.0877
      50-49−0.12504.9179−0.0648
    • Table 2. Registration results of ICP algorithm

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      Table 2. Registration results of ICP algorithm

      GroupsThree axis translation distance
      dx/mm dy/mm dz/mm
      21-200.3604−0.34640.4818
      22-210.1552−0.69670.5961
      23-220.1630−0.2454−0.1001
      ............
      48-470.0407−0.1771−0.4323
      49-480.0297−0.12390.2898
      50-490.21010.17760.1921
      GroupsThree axis rotation angle
      ax/(°) ay/(°) az/(°)
      21-20−0.20884.82900.6914
      22-21−0.07874.78671.3158
      23-220.15384.96921.0110
      ............
      48-470.32254.85530.2024
      49-480.35854.85230.1457
      50-490.45464.78520.2026
    • Table 3. Algorithm time-consuming comparison

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      Table 3. Algorithm time-consuming comparison

      GroupsProposed algorithm consumes time/s ICP algorithm consumes time/s
      21-2012.929.5
      22-2115.933.3
      23-2217.437.5
      .........
      48-4713.149.8
      49-4813.044.1
      50-4912.040.7
    • Table 4. Registration cumulative error statistics

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      Table 4. Registration cumulative error statistics

      GroupsThree axis translation distance
      dx/mm dy/mm dz/mm
      Proposed algorithm0.71012.42220.3235
      ICP algorithm2.0442−0.71002.7629
      GroupsThree axis rotation angle
      ax/(°) ay/(°) az/(°)
      Proposed algorithm0.262410.45493.2799
      ICP algorithm2.24424.42457.8200
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    Qi Lu, Tingting Lin, Pengcheng Li, Ronghua Li, Yanjun Ge. Improved registration algorithm for spatial non-cooperative target point cloud clustering[J]. Infrared and Laser Engineering, 2021, 50(9): 20200431

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    Paper Information

    Category: Image processing

    Received: Dec. 12, 2020

    Accepted: --

    Published Online: Oct. 28, 2021

    The Author Email: Li Ronghua (lironghua705@163.com)

    DOI:10.3788/IRLA20200431

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