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Laser & Optoelectronics Progress, Volume. 61, Issue 14, 1415008(2024)

Point Cloud Segmentation Algorithm for Vehicle Body Components Based on Principle of Density-Proportional Growth Consistency

Zehang Liao1,2, Minqi He2, Hao Wu1,2, Wanyang Xia2、*, Zhongren Wang3, and Dahu Zhu1,2
Author Affiliations
  • 1Hubei Longzhong Laboratory, Xiangyang Demonstration Zone, Wuhan University of Technology, Xiangyang441000, Hubei , China
  • 2School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, Hubei , China
  • 3School of Mechanical Engineering, Hubei University of Arts and Science, Xiangyang441053, Hubei , China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (14)
    Equations (12)
    References (26)
    Cited By (2)
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    Figures & Tables(14)
    Structure of the vehicle door frame

    Fig. 1. Structure of the vehicle door frame

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    Flowchart of DPGC algorithm

    Fig. 2. Flowchart of DPGC algorithm

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    Two-dimensional line segment projection. (a) Line segment projection; (b) oblique line segment projection; (c) irregular curve segment projection

    Fig. 3. Two-dimensional line segment projection. (a) Line segment projection; (b) oblique line segment projection; (c) irregular curve segment projection

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    Density proportional growth consistency algorithm

    Fig. 4. Density proportional growth consistency algorithm

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    Vehicle door frame point cloud segmentation method. (a) Flat plane area; (b) lean plane area; (c) curved area

    Fig. 5. Vehicle door frame point cloud segmentation method. (a) Flat plane area; (b) lean plane area; (c) curved area

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    Proportional radius search theory. (a) Lean plane area; (b) curved area

    Fig. 6. Proportional radius search theory. (a) Lean plane area; (b) curved area

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    Vehicle door frame surface point cloud data acquisition. (a) Measured data acquisition; (b) collection area structure division

    Fig. 7. Vehicle door frame surface point cloud data acquisition. (a) Measured data acquisition; (b) collection area structure division

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    Point cloud data downsampling. (a) Original point cloud data; (b) downsampled point cloud data

    Fig. 8. Point cloud data downsampling. (a) Original point cloud data; (b) downsampled point cloud data

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    Diagram of vehicle door frame point cloud. (a) Projected point cloud; (b) point cloud of vehicle body surface structure

    Fig. 9. Diagram of vehicle door frame point cloud. (a) Projected point cloud; (b) point cloud of vehicle body surface structure

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    Plane region segmentation effect. (a) DPGC algorithm; (b) RANSAC-LS algorithm; (c) improved region growth segmentation algorithm

    Fig. 10. Plane region segmentation effect. (a) DPGC algorithm; (b) RANSAC-LS algorithm; (c) improved region growth segmentation algorithm

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    Curved surface region segmentation effect. (a) DPGC algorithm; (b) RANSAC-LS algorithm; (c) improved region growth segmentation algorithm

    Fig. 11. Curved surface region segmentation effect. (a) DPGC algorithm; (b) RANSAC-LS algorithm; (c) improved region growth segmentation algorithm

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    Segmentation effect of vehicle body components and indoor point clouds. (a) T-shaped corner area; (b) step transition area; (c) vehicle wheel hub; (d) indoor point cloud

    Fig. 12. Segmentation effect of vehicle body components and indoor point clouds. (a) T-shaped corner area; (b) step transition area; (c) vehicle wheel hub; (d) indoor point cloud

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    • Table 1. Point cloud segmentation effect of existing algorithms

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      Table 1. Point cloud segmentation effect of existing algorithms

      Point cloud segmentation algorithmmIoU /%
      DPGC algorithm93.3
      RANSAC-LS algorithm［21］91.1
      Improved region growth segmentation algorithm［17］88.9

    • Table 2. Effect of point cloud segmentation in different regions

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      Table 2. Effect of point cloud segmentation in different regions

      RegionmIoU /%
      T-shaped corner area92.2
      Step transition area93.2
      Vehicle wheel hub95.1
      Indoor point cloud93.1
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    Zehang Liao, Minqi He, Hao Wu, Wanyang Xia, Zhongren Wang, Dahu Zhu. Point Cloud Segmentation Algorithm for Vehicle Body Components Based on Principle of Density-Proportional Growth Consistency[J]. Laser & Optoelectronics Progress, 2024, 61(14): 1415008

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    Paper Information

    Category: Machine Vision

    Received: Dec. 22, 2023

    Accepted: Mar. 7, 2024

    Published Online: Jul. 8, 2024

    The Author Email: Wanyang Xia (xiawanyang@whut.edu.cn)

    DOI:10.3788/LOP232714

    CSTR:32186.14.LOP232714

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology