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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

System and Method for Detecting Potholes based on Video Data

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Author Taehyeong Kim, Seung-Ki Ryu
ISSN 2079-8407
On Pages 703-709
Volume No. 5
Issue No. 9
Issue Date October 1, 2014
Publishing Date October 1, 2014
Keywords Pothole, Video data, Detecting, Y signals


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.
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