System and Method for Detecting Potholes based on Video Data

Abstract

Pavement distress detection such as cracks, potholes, etc., mostly performed manually, is a labor-intensive and time-consuming process. Several efforts have been made for developing a technology which can automatically detect and recognize potholes, thus may contribute to improvement of survey efficiency and pavement quality through prior investigation and immediate action. The purpose of this study is to develop a system and method for detecting potholes based on video data. In this study, we have proposed a system that collects video data through a newly designed optical device mounted on a vehicle and a method that detects potholes in the collected video data using Y signals of input frames.