Basic Research for Recognizing Road Objects using Point Cloud Data by Deep Learning

Abstract

The Ministry of Land, Infrastructure, Transport and Tourism has formulated a routine inspection procedure for road maintenance and repair. On the other hand, much of the social infrastructure in Japan is deteriorated. Therefore, it is necessary to streamline these periodic inspections. In the existing research, it has been proven that deformation and deterioration of road surfaces can be confirmed without dispatching inspectors by using point cloud data and images acquired through mobile mapping systems. However, it takes time to visually find a target feature from within a huge amount of data. In this research, we project point cloud data and generate images. Then, we propose a method to identify road features using projected images by deep learning.