Pavement Pothole Detection Based on 3D Laser Point Cloud

Due to the poor safety and low efficiency of the traditional road pothole detection method, a road pothole detection method based on a 3D laser point cloud is proposed. Based on the Pauta criterion, the abnormal points are detected, and the left or right normal points are used to correct the abnormal points. A quadratic parabolic arched pavement model is established, and a cross-section based on the dispersion of the point cloud data distribution of the cross section is examined for potholes. A method of twice fitting of arch pavement curve is proposed to extract pothole points using the data before and after fitting. Finally, the minimum area and volume detected at each data point is calculated to give the area and volume of the pothole. Experiments have proved that the method can accurately extract the pothole points, and the calculated pothole data has higher consistency compared with manual data.