Author Affiliations
1School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, Hubei, China2School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430072, Hubei, China3China Railway Bridge Science Research Institute, Ltd., Wuhan 430034, Hubei, China4State Key Laboratory for Health and Safety of Bridge Structures, Wuhan 430034, Hubei, Chinashow less
Fig. 1. Monitoring system for bridge's moving load based on WIM and multi-cameras
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
Fig. 3. Point cloud and image acquisition devices over the WIM
Fig. 4. Calibration of point cloud and image acquisition devices
Fig. 5. Interpolation of point cloud
Fig. 6. Vehicle mockup
Fig. 7. Point cloud acquisition device
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
Fig. 9. Full 3D point cloud of the model
Fig. 10. Influence of different number of sampling points on variation of Euclidean distance of normal vector
Fig. 11. Color image and point cloud grayscale image of vehicle model
Fig. 12. Colored cloud point grid of vehicle mockup
Fig. 13. Virtual scene and real image of vehicle
Fig. 14. Deviation diagram along Y coordinate
Method | Time consuming /s |
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Fig.8(b) | Fig.8(c) | Fig.8(d) |
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SAC-IA | 15.97 | 16.83 | 16.61 | Proposed method | 3.95 | 4.36 | 4.23 |
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Table 1. Time consuming for point cloud registration of the proposed algorithm and SAC-IA
Scene | Vehicle mockup center in world coordinate /mm |
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Actual | Estimated from 2D bounding box | Estimated from colored point cloud |
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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) |
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Table 2. Vehicle center in world coordinate at different scenes