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Real Time Pothole Detection System based on Video Data for Automatic Maintenance of Road Surface Distress
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 Title & Authors
Real Time Pothole Detection System based on Video Data for Automatic Maintenance of Road Surface Distress
Jo, Youngtae; Ryu, Seungki;
Potholes are caused by the presence of water in the underlying soil structure, which weakens the road pavement by expansion and contraction of water at freezing and thawing temperatures. Recently, automatic pothole detection systems have been studied, such as vibration-based methods and laser scanning methods. However, the vibration-based methods have low detection accuracy and limited detection area. Moreover, the costs for laser scanning-based methods are significantly high. Thus, in this paper, we propose a new pothole detection system using a commercial black-box camera. Normally, the computing power of a commercial black-box camera is limited. Thus, the pothole detection algorithm should be designed to work with the embedded computing environment of a black-box camera. The designed pothole detection algorithm has been tested by implementing in a black-box camera. The experimental results are analyzed with specific evaluation metrics, such as sensitivity and precision. Our studies confirm that the proposed pothole detection system can be utilized to gather pothole information in real-time.
pothole;black-box camera;real-time pothole detection;pothole detection accuracy;
 Cited by
J. S. Miller, W. Y. Bellinger, "Distress identification manual for the long-term pavement performance program," FHWA-RD-03-031, Federal Highway Administration, Washington, DC, USA, 2003.

Seoul city. Available online: (accessed on 1 September 2015)

B. X. Yu, X. Yu, "Vibration-based system for pavement condition evaluation," Proc. of the 9th International Conference on Applications of Advanced Technology in Transportation, Chicago, pp. 183-189, Aug. 2006.

K. D. Zoysa, C. Keppitiyagama, G. P. Seneviratne, W.W.A.T. Shihan, "A public transport system based sensor network for road surface condition monitoring," Proc. of Workshop on Networked Systems for Developing Regions, Japan, pp. 1-6, Aug. 2007.

J. Erikson, L. Girod, B. Hull, "The pothole patrol: using a mobile sensor network for road surface monitoring," Proc. of the 6th International Conference on Mobile Systems, Applications, and Services, USA, pp. 29-39, Jun. 2008.

A. Mednis, G. Strazdins, R. Zviedris, G. Kanonirs, L. Selavo, "Real time pothole detection using Android smart phones with accelerometers," Proc. of the International Conference on Distributed Computing in Sensor Systems and Workshops, Barcelona, pp. 1-6, Jun. 2011.

A. Ghose, P. Biswas, C. Bhaumik, M. Sharma, A. Pal, A. Jha, "Road condition monitoring and alert application: Using in-vehicle Smartphone as Internet-connected sensor," Proc. of 2012 IEEE International Conference on Pervasive Computing and Communications Workshops, Lugano, pp. 489-491, Mar. 2012.

S. Raj, A. Jain, R. Misra, "Smartphone sensing for large data set collection of potholes," Proc. of MobiSys 2013, Taiwan, pp. 517-518, Jun. 2013.

Q. Li, M. Yao, X. Yao, B. Xu, "A real-time 3D scanning system for pavement distortion inspection, Measurement Science and Technology," Vol. 21, pp. 15702-15709, 2009.

X. Yu, E. Salari, "Pavement pothole detection and severity measurement using laser imaging," Proc. of IEEE International Conference on Electro/Information Technology, Mankato, pp. 1-5, May 2011.

C. Koch, I. Brilakis, "Pothole detection in asphalt pavement images," Advanced Engineering Informatics, Vol. 25, pp. 507-515, 2011. crossref(new window)

E. Buza, S. Omanovic, A. Huseinnovic, "Pothole detection with image processing and spectral clustering," Proc. of the 2nd International Conference on Information Technology and Computer Networks, Turkey, pp. 48-53, Oct. 2013.

G. M. Jog, C. Koch, M. Golparvar-Fard, I. Brilakis "Pothole properties measurement through visual 2D recognition and 3D reconstruction," Proc. of the ASCE International Conference on Computing in Civil Engineering, Florida, pp. 553-560, Jun. 2012.

N. Otsu, "A threshold selection method from graylevel histograms," IEEE Transactions on. Systems, Man, and Cybernetics, SMC-9, pp. 62-66, 1979.