A review on real-time automatic system for identifying potholes
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J. S. Miller and W. Y. Bellinger, “Distress identification manual for the long-term pavement performance program,” FHWA RD-03-031, Federal Highway Administration, Washington, DC, USA, 2003.
M. Greenstein, C. Mar, A. Pesterev, S. Farshchi, E. Kohler,J. Judy, and D. Estrin. Capturing high-frequency phenomenausing a bandwidth-limited sensor network. In SenSys, pages279–292, 2006
B. X. Yu and X. Yu, “Vibration-based system for pavement condition evaluation,” in Proceedings of the 9th International Conference on Applications of Advanced Technology in Transportation, pp. 183–189, August 2006.
K. De Zoysa, C. Keppitiyagama, G. P. Seneviratne, and W. W. A. T. Shihan, “A public transport system-based sensor network for road surface condition monitoring,” in Conference Proceedings of the 1st ACM SIGCOMM Workshop on Networked Systems for Developing Regions (NSDR '07), Tokyo, Japan, August 2007.
J. Eriksson, L. Girod, B. Hull, R. Newton, S. Madden, and H. Balakrishnan, “The pothole patrol: using a mobile sensor network for road surface monitoring,” in Proceedings of the 6th International Conference on Mobile Systems, Applications, and Services (MobiSys '08), pp. 29–39, June 2008.
A. Mednis, G. Strazdins, R. Zviedris, G. Kanonirs, and L. Selavo, “Real time pothole detection using Android smartphones with accelerometers,” in Proceedings of the International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS '11), pp. 1–6, IEEE, Barcelona, Spain, June 2011.
K. C. P. Wang, “Challenges and feasibility for comprehensive automated survey of pavement conditions,” in Proceedings of the 8th International Conference on Applications of Advanced Technologies in Transportation Engineering, pp. 531–536, May 2004.
C. P. Kelvin, “Automated pavement distress survey through stereovision,” Technical Report of Highway IDEA Project 88, Transportation Research Board, 2004.
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