• Laser & Optoelectronics Progress
  • Vol. 60, Issue 10, 1028005 (2023)
Wei Wang1、*, Lü Bin1, Yirui Yang1, Xinyu Hu1, Yuchun Huang2, Zhongtao Ye3、4, and Minghui Wang3
Author Affiliations
  • 1School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, Hubei, China
  • 2School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430072, Hubei, China
  • 3China Railway Bridge Science Research Institute, Ltd., Wuhan 430034, Hubei, China
  • 4State Key Laboratory for Health and Safety of Bridge Structures, Wuhan 430034, Hubei, China
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    DOI: 10.3788/LOP220660 Cite this Article Set citation alerts
    Wei Wang, Lü Bin, Yirui Yang, Xinyu Hu, Yuchun Huang, Zhongtao Ye, Minghui Wang. Vehicle Location and Reidentification Using Multisource Point Clouds and Images[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1028005 Copy Citation Text show less
    Monitoring system for bridge's moving load based on WIM and multi-cameras
    Fig. 1. Monitoring system for bridge's moving load based on WIM and multi-cameras
    Generation and application of vehicle RGB-D data. (a) Registration of 3D point cloud and RGB camera; (b) center of gravity estimation and virtual scene generation by using RGB-D data
    Fig. 2. Generation and application of vehicle RGB-D data. (a) Registration of 3D point cloud and RGB camera; (b) center of gravity estimation and virtual scene generation by using RGB-D data
    Point cloud and image acquisition devices over the WIM
    Fig. 3. Point cloud and image acquisition devices over the WIM
    Calibration of point cloud and image acquisition devices
    Fig. 4. Calibration of point cloud and image acquisition devices
    Interpolation of point cloud
    Fig. 5. Interpolation of point cloud
    Vehicle mockup
    Fig. 6. Vehicle mockup
    Point cloud acquisition device
    Fig. 7. Point cloud acquisition device
    Original partial point cloud. (a) Point cloud from top side; (b) point cloud from right side; (c) point cloud from left side; (d) point cloud from front side
    Fig. 8. Original partial point cloud. (a) Point cloud from top side; (b) point cloud from right side; (c) point cloud from left side; (d) point cloud from front side
    Full 3D point cloud of the model
    Fig. 9. Full 3D point cloud of the model
    Influence of different number of sampling points on variation of Euclidean distance of normal vector
    Fig. 10. Influence of different number of sampling points on variation of Euclidean distance of normal vector
    Color image and point cloud grayscale image of vehicle model
    Fig. 11. Color image and point cloud grayscale image of vehicle model
    Colored cloud point grid of vehicle mockup
    Fig. 12. Colored cloud point grid of vehicle mockup
    Virtual scene and real image of vehicle
    Fig. 13. Virtual scene and real image of vehicle
    Deviation diagram along Y coordinate
    Fig. 14. Deviation diagram along Y coordinate
    MethodTime consuming /s
    Fig.8(b)Fig.8(c)Fig.8(d)
    SAC-IA15.9716.8316.61
    Proposed method3.954.364.23
    Table 1. Time consuming for point cloud registration of the proposed algorithm and SAC-IA
    SceneVehicle mockup center in world coordinate /mm
    ActualEstimated from 2D bounding boxEstimated from colored point cloud
    1(14.87,-65.71,18.49)(14.91,-62.89)(14.88,-65.70,18.49)
    2(12.78,-34. 90,18.49)(12.82,-32.05)(12.78,-35.63,18.49)
    3(10.48,-28.95,18.49)(10.46,-26.21)(10.48,-30.73,18.49)
    4(10.33,-13.96,18.49)(10.27,-9.97)(10.34,-15.62,18.49)
    5(19.79,7.27,18.49)(19.81,12.79)(19.83,5.95,18.49)
    6(13.55,14.49,18.49)(13.39,21.18)(13.45,12.79,18.49)
    7(16.78,26.74,18.49)(16.70,33.84)(16.76,23.38,18.49)
    8(16.28,33.62,18.49)(16.11,45.38)(16.21,31.51,18.49)
    Table 2. Vehicle center in world coordinate at different scenes
    Wei Wang, Lü Bin, Yirui Yang, Xinyu Hu, Yuchun Huang, Zhongtao Ye, Minghui Wang. Vehicle Location and Reidentification Using Multisource Point Clouds and Images[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1028005
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