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http://dx.doi.org/10.12815/kits.2016.15.4.104

Pothole Detection Algorithm Based on Saliency Map for Improving Detection Performance  

Jo, Young-Tae (KICT)
Ryu, Seung-Ki (KICT)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.15, no.4, 2016 , pp. 104-114 More about this Journal
Abstract
Potholes have caused diverse problems such as wheel damage and car accident. A pothole detection technology is the most important to provide efficient pothole maintenance. The previous pothole detections have been performed by manual reporting methods. Thus, the problems caused by potholes have not been solved previously. Recently, many pothole detection systems based on video cameras have been studied, which can be implemented at low costs. In this paper, we propose a new pothole detection algorithm based on saliency map information in order to improve our previously developed algorithm. Our previous algorithm shows wrong detection with complicated situations such as the potholes overlapping with shades and similar surface textures with normal road surfaces. To address the problems, the proposed algorithm extracts more accurate pothole regions using the saliency map information, which consists of candidate extraction and decision. The experimental results show that the proposed algorithm shows better performance than our previous algorithm.
Keywords
Pothole detection; Saliency map; Video data; Detection accuracy; Black-box camera;
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