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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

Review and Analysis of Pothole Detection Methods

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Author Taehyeong Kim, Seung-Ki Ryu
ISSN 2079-8407
On Pages 603-608
Volume No. 5
Issue No. 8
Issue Date September 1, 2014
Publishing Date September 1, 2014
Keywords Pothole, Detecting, Vibration, 3D reconstruction, 2D images, Video


Abstract

As one type of pavement distresses, potholes are important clues indicating structural defects of the asphalt road, and accurately detecting these potholes is one of important tasks for determining proper strategies of asphalt-surfaced pavement maintenance and rehabilitation. However, manually detecting and evaluating methods are expensive and time-consuming. Thus, several efforts have been made for developing a technology which can automatically detect and recognize potholes, which may contribute to improvement of survey efficiency and pavement quality through prior investigation and immediate action. In this study, we investigate and analyze pothole detection methods which have developed and propose a potential direction of developing a pothole detection method to accurately and efficiently detect potholes.
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