Evaluation of cracks on the pavement for combining deep learning and Fuzzy C-Means classifier

Abstract

Hanshin Expressway Engineering Company Limited has been conducted damage analysis of the road pavement by using images taken with a line scan camera mounted on a road surface property measuring vehicle. And then analysis worker detects crack by own eyes and calculates “crack rate”.However, the efficiency of the analysis work is not good and judgment result varies depending on the characteristics of the worker, because the crack detection works rely on human inspection. In this research, the system evaluates the statement of a crack by using DL-FCM classifiers that is combined deep learning and Fuzzy C-Means classifiers is proposed.