Research on road crack detection method based on UAV images

This is the authors' abstract. We don't add key points for this paper.

The health condition of road pavement has a crucial impact on driving safety. Traditional pavement detection methods have various shortcomings, so this paper proposes a road crack detection method based on UAV images. The target area is segmented and extracted after acquiring the road image by applying DJI Jingwei M210-RTK UAV aerial photography. Through the GUI platform of MATLAB, the image preprocessing, crack recognition and classification operations are performed on the image to determine the type of cracks and mark them. The length, area, average width and other parameters of the cracks were calculated by pixel scanning. It is proved that this detection method can efficiently and accurately realize the functions of pavement crack recognition, type judgment and parameter information extraction.