Research On Pavement Modeling Technologies Based On Point Cloud

In recent years, the economic of China developing rapidly,which makes our national the infrastructure is more complete, especially in the highway construction.Highway of our country has reached a very high coverage, the focus of the future work will be the maintenance of the road that have been completed,the first task of the maintenance is road detection.At present, the traditional pavement measurement technique is less efficient and accuracy is hard to adapt to the economic development.Compared with the traditional detection method,laser scanning measurement technology has the feature of obtaining the spatial coordinate information directly and quickly, and has become a hot research field in recent years.The laser sensor loading to the formation of the body of the mobile measurement system, in view of the acquisition data quickly and accurately, which is widely used in the 3D information of the surface and buildings,such as access to.Compared with the traditional detection method, it has the advantages of fast, safe, reliable and can carry out the two visualization of pavement etc. If the measurement of the vehicle mobile application to the road surface will greatly improve the maintenance efficiency, so the application has a good prospect.Based on the above situationsis, studies the technology of real-time and off-line 3D reconstruction of pavement and the detection of the parameters of pavement by using the vehicle laser to acquire point cloud data.The main hardware vehicle system used in this article include laser and a gray camera and a high server. This paper introduces the working principle of the system and its data acquisition method and constructs the 3D pavement model according to the actual data acquired by the sensor.In this paper investigated pre-processing for the acquisition of point cloud data, the completion of data using cubic spline interpolation, compared based on line scan angle-chord point cloud simplification algorithm, aiming the algorithm at the problem that the feature of is not outstanding, the random sample consensus algorithm is used to simplify the point cloud, can be a very good retention pavement characteristics. At the same time, the level of detail algorithm based on regular grid were studied, contrast based on quadtree LOD algorithm and based on binary triangle tree block ROAM algorithm, improved the block ROAM algorithm. The improved algorithm can used for three-dimensional pavement modeling. In addition, the Open GL imaging principle,multi-thread technology, memory mapping technology, and large data quantity of the scheduling problem is studied. According to the above theoretical research and development of the road 3D interactive visualization system. The system includes two module online module and off-line pavement 3D roaming module, using C++ languageprogramming to realize the function of each module in the system.Engineering application indicates that The online module can collect the massive road data and can monitor the data acquisition accuracy through the model, the offline 3D road visualization can carried out 3D model browsing in accordance with the requirements of different parameters base on the collected data and conduct basic measurement.