Road 3D Point cloud Data Modeling based on LiDAR

This paper mainly studies how to collect useful point cloud data efficiently and accurately by 3D lidar and gives a set of effective fast 3D modeling method. Using LiDAR RS-LIDAR-16 to scan the roads and their surroundings at different measuring stations, the 3d laser point clouds of several stations were obtained. Point cloud registration and denoising were carried out to eliminate noisy scattered point clouds. The experimental results show that this method can realize the modeling of three-dimensional point clouds of different stations and has good modeling effect.