A point cloud segmentation and material statistics algorithm for train carriage

The efficiency of train transportation in the port environment directly restricts production entire port. In order to coordinate productivity and further improve loading unloading automation system, this paper proposes a material segmentation data statistics algorithm for problem identification compartment. terrestrial laser scanning system was established under experimental scenario CHN ENERGY Tianjin Port. By fusing point cloud data, then performing pre-processing operations such as box filtering, down-sampling, radius pre-processed is projected onto two-dimensional plane image, canny operator used extract contour carriage on image. Further fitting wall, materials segmented. Through method slicing compartment, completing statistical analysis compartment from whole part. database fields main types are realize information interaction between recognition algorithm. final results show that error rate length 5.89%, width 7.25%, which verifies has good accuracy fully meets engineering needs.