Rut Detection And Evaluation Based On High Resolution 3D Pavement Images

Asphalt pavement, as the main type of high grade highway pavement in our country, its service performance directly affects the comfort of travel and the smoothness of traffic flow. With more and more high-grade asphalt pavement in use, how to build real-time detection, maintenance and management of road pavement, is a big problem road managers need to face. And an important premise to do the road maintenance management is the scientific and reasonable detection and evaluation of pavement damage condition.This thesis mainly regards rutting damage as the research object, from several aspects carries out the research including the equipment of rut detection equipment detection methods、rut image progressing、feature extraction of rut and the establishment of rut indicators.Firstly, it introduces the main types of road damages, describes the cause and harm of rut damage, then presents the imperfection in rut detection and evaluation and the existing problems.Secondly, this thesis describes the diversity of road surface detection system and equipments briefly, mainly introduces the detection methods used in rut detection, lists their advantages and disadvantages respectively. Then it introduces the detection principle of Digital Highway Data Vehicle, laser 3-d scanning system and the differences between high resolution 3d road surface image and 2d road surface image.The third part is to do the preprocessing. Learning from the existing 2d road surface image denoising processing methods, put forward a new image denoising algorithm which is suitable for 3d rut images. In order to prove the availability of this algorithm, this article also dose the road section curve comparision between the denoised one and the artificial one.The final step is rut feature extraction and the establishment of rut indicators. According to road section curve obtained from the previous chapter,it extracts the data of rut depth、rut area and rut width. Finally establishes rut evaluation index which can reflect the rutting damage status.