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