The invention relates to a
road edge detection
system and method based on
laser radar and fan-shaped space segmentation. The method comprises the steps of 1, a
laser radar scanning the surrounding environment of a vehicle to obtain reflection
point cloud information and convert the reflection
point cloud information into a locally constructed three-dimensional coordinate
system; 2, preprocessing the
point cloud data, and separating and extracting ground data in each frame of point cloud; 3, dividing the space in the coordinate
system into fan-shaped structural bodies according to the data characteristics of the
laser radar and the point cloud, and identifying the road extension direction according to the ground information and the fan-shaped structural bodies; 4, extracting
road edge candidate points in the point cloud by using a parallel
road edge retrieval algorithm; 5, clustering the road edge candidate points, and eliminating an interference
point set according to fan-shaped spatial features; and 6, performing B spline
curve fitting on the finally determined road edge point to obtain a road
edge detection result. The method is high in adaptability, capable of adapting to roadsof various shapes and reducing the influence of obstacles, high in precision and reduction degree, high in reliability and low in error rate.