Research for Recognizing Individual Parts of Bridge Using Point Cloud Data with Deep Learning

Abstract

In Japan, a large number of bridges constructed during the period of high economic growth are aging. The Ministry of Land, Infrastructure, Transport and Tourism has formulated a specification for creating a three-dimensional model and a definition of notation for the purpose of improving efficiency and upgrading of maintenance management of these bridges. In this background, a method was proposed for generating a three-dimensional model of a bridge using the point cloud data obtained from the laser scanner on the ground or UAV. However, in existing research, it is impossible to generate models for each individual part specified by the current specification. In this study, we propose a method for automatically recognizing individual parts of the main girder, the road surface, the handrail, and the abutment from the point cloud data of a bridge using deep learning.