Research for Evaluating Time Series Difference of Road Object Using Point Cloud Data by Grid Division

Abstract

Road supports our lives as an important infrastructure, and the responsibility for managing roads is crucial. The management of roads makes us a safe life by patrolling regularly to check the road deformation. However, regular patrols have been pointed out that it is extremely costly because people visit the work site. Meanwhile, with the development of laser measuring instruments, means for measuring three-dimensional shape on the ground as point cloud data are diversified at present. Therefore, these application to the management of roads is expected. And, it is considered that the deformation of the road can be recognized by extracting the difference from the point cloud data at multiple times. Therefore, in this research, we propose a method to evaluate differences of road object from point cloud data in multiple times.