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http://dx.doi.org/10.5626/KTCP.2016.22.1.8

Real Time Pothole Detection System based on Video Data for Automatic Maintenance of Road Surface Distress  

Jo, Youngtae (한국건설기술연구원 도로연구소)
Ryu, Seungki (한국건설기술연구원 도로연구소)
Publication Information
KIISE Transactions on Computing Practices / v.22, no.1, 2016 , pp. 8-19 More about this Journal
Abstract
Potholes are caused by the presence of water in the underlying soil structure, which weakens the road pavement by expansion and contraction of water at freezing and thawing temperatures. Recently, automatic pothole detection systems have been studied, such as vibration-based methods and laser scanning methods. However, the vibration-based methods have low detection accuracy and limited detection area. Moreover, the costs for laser scanning-based methods are significantly high. Thus, in this paper, we propose a new pothole detection system using a commercial black-box camera. Normally, the computing power of a commercial black-box camera is limited. Thus, the pothole detection algorithm should be designed to work with the embedded computing environment of a black-box camera. The designed pothole detection algorithm has been tested by implementing in a black-box camera. The experimental results are analyzed with specific evaluation metrics, such as sensitivity and precision. Our studies confirm that the proposed pothole detection system can be utilized to gather pothole information in real-time.
Keywords
pothole; black-box camera; real-time pothole detection; pothole detection accuracy;
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