APPLICATION OF AI-BASED DEGRADATION EXTRACT FUNCTION TO A ROAD PAVEMENT CONDITION ASSESSMENT SYSTEM

Abstract

In current, in order to realize a sustainable society, the maintenance of road and other infrastractures in Japan tasks are considered important. However, reduction of public works expenditure due to administrative reforms and the shortage of civil engineer due to the low birthrate and the aging population. In particular, we have been focusing on the evaluation of road pavement condition of local goverments and have been working on the development of a simple assessment system. And, development of AI technology in recent years, an efficient system that replaces conventional operations is also expected.

In this study, purpose to improve the efficiency of road administrators in local governments, using deep learning we attempted to automatically detect the deformation that affects roughness from the video data shooting by digital camera. And, road pavement condition system using acceleration sensor and video data developed in the past study, the usefuluness of the road evaluation by the application of the deformation detect is confirmed.