THREE-DIMENSIONAL DATA OF PAVEMENT USING TELLESTRIAL LASE SCANNING AND ITS USAGE FOR MAINTENANCE

Abstract

 In road maintenance, it is necessary to construct an environment that manages 3D data and maintenance information for its effectivity and efficiency. Using 3D data will thus improve the efficiency of operations and maintenance. The primary objective of this research is to support pavement maintenance work using 3D data by constructing point cloud data of terrestrial laser scanning (TLS). This research evaluated the accuracy of the usage of point cloud data by TLS for pavement maintenance. This method can be used to check the surface irregularities on pavement that can be easily and quickly confirmed by management. The 3D data could be used to develop a pavement maintenance management system that accumulates data and refers to the inspection results and repair information. The system can link inspection results and recondition information with the point cloud data for display, storage, and reference, facilitating the management of road cracks and areas for repair. The prototype system was developed using Skyline Terra Explorer Pro. It was visualized constructed 3D data on temporal sequence.