Road pavement is often damaged due to traffic load, weather and other factors. Therefore, periodic inspection and maintenance are required. Among the many types of road pavement distresses, potholes are particularly significant and can cause serious traffic accidents. The traditional pothole detection method requires inspectors to visit the site to measure, which is labor-intensive and dangerous. Nowadays, mobile laser system (MLS), which has been widely used recently with the advancement of technology, is used in this study to collect detailed 3D information of the road surface. To reconstruct the three-dimensional scene, this study uses NDT matching to match the MLS point cloud with high definition map (HD map) as the base map. Pothole detection is performed on the road pavement in the 3D point cloud scene using the best-fitting plane algorithm and the sightline blocked azimuth ratio algorithm.
|出版狀態||Published - 2022|
|事件||43rd Asian Conference on Remote Sensing, ACRS 2022 - Ulaanbaatar, Mongolia|
持續時間: 2022 10月 3 → 2022 10月 5
|Conference||43rd Asian Conference on Remote Sensing, ACRS 2022|
|期間||22-10-03 → 22-10-05|
All Science Journal Classification (ASJC) codes