2021 Volume 77 Issue 2 Pages I_93-I_101
In order to sustainably maintain road structures, it is effective to use three-dimensional (3D) data, which has excellent visual expression and can share information. However, a maintenance system that grasps the shape from 3D data and expresses damage and inspection results at any location is still under development. 3D road data is generally measured over a wide area every few years, and there is no environment in which the updated data can be used. It takes time for changes in road structures to be reflected in 3D point cloud data, and there is a problem that the latest data cannot be used in maintenance work. The objective of this study is to build a 3D point cloud data base for road maintenance, and to partially use the existing 3D point cloud data using the data measured by the terrestrial laser scanner and camera for the feature to be updated. We devised and verified an update method to improve the freshness of the data.
