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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

Pothole DB based on 2D Images and Video Data

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Author Taehyeong Kim, Seung-Ki Ryu
ISSN 2079-8407
On Pages 527-531
Volume No. 5
Issue No. 7
Issue Date August 1, 2014
Publishing Date August 1, 2014
Keywords Pothole, 2D images, Video data, DB, Query system


Abstract

In Korea, damaged pavement like potholes are increasing due to the climate change such as heavy rains and snow, and thus complaints and lawsuits of accidents related to potholes are growing. In order to solve this problem, a new research is being conducted for developing a technology which can detect and recognize potholes based on images, which may contribute to improvement of survey efficiency and pavement quality by prior investigation and immediate action. The purpose of this study is to develop pothole 2D DB based on 2D images and video data as a pre-study of developing a technology detecting and recognizing potholes based on images. In this study, we collect images of potholes through video recording on a moving vehicle, categorize potholes by type of shape and road class based on collected images, and develop a query system for the built pothole 2D DB. The obtained pothole video data and a query system for pothole 2D DB will be utilized for testing algorithms that will be developed to detect and recognize potholes based on images and video data.
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