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Open AccessArticle

Pothole Detection System Using a Black-box Camera

Highway Research Institute, Korea Institute of Civil Engineering and Building Technology, Goyang-si, Gyeonggi-do 10223, Korea
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Academic Editor: Felipe Jimenez
Sensors 2015, 15(11), 29316-29331; https://doi.org/10.3390/s151129316
Received: 30 September 2015 / Revised: 16 November 2015 / Accepted: 17 November 2015 / Published: 19 November 2015
(This article belongs to the Special Issue Sensors in New Road Vehicles)
Aging roads and poor road-maintenance systems result a large number of potholes, whose numbers increase over time. Potholes jeopardize road safety and transportation efficiency. Moreover, they are often a contributing factor to car accidents. To address the problems associated with potholes, the locations and size of potholes must be determined quickly. Sophisticated road-maintenance strategies can be developed using a pothole database, which requires a specific pothole-detection system that can collect pothole information at low cost and over a wide area. However, pothole repair has long relied on manual detection efforts. Recent automatic detection systems, such as those based on vibrations or laser scanning, are insufficient to detect potholes correctly and inexpensively owing to the unstable detection of vibration-based methods and high costs of laser scanning-based methods. Thus, in this paper, we introduce a new pothole-detection system using a commercial black-box camera. The proposed system detects potholes over a wide area and at low cost. We have developed a novel pothole-detection algorithm specifically designed to work with the embedded computing environments of black-box cameras. Experimental results are presented with our proposed system, showing that potholes can be detected accurately in real-time. View Full-Text
Keywords: pothole; black-box camera; pothole detection; low cost pothole; black-box camera; pothole detection; low cost
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MDPI and ACS Style

Jo, Y.; Ryu, S. Pothole Detection System Using a Black-box Camera. Sensors 2015, 15, 29316-29331.

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