Aiming at the problems of under-segmentation and over-segmentation in the road clustering method of point cloud extraction, a road point cloud extraction method based on slope filtering algorithm and improved European distance region growth algorithm is proposed. First, the original point cloud data is large and complex, and statistical analysis is used for preprocessing to remove a certain amount of dangling noise and reduce the amount of data; secondly, in order to prevent the loss of accuracy of point cloud data, the preprocessed point cloud is divided into grids, and combined with the slope filtering algorithm, the non surface point interference is removed to obtain the ground point cloud; finally, taking the angle of normal vector and Euclidean distance as constraints, the region growth algorithm is used to extract road point cloud. Two sets of vehicle point cloud data in different scenarios are used to test the effectiveness of this method.