Pothole Detection and Classification Using 3D Technology and Watershed Method
Author:
Affiliation:
1. Professor, Georgia Institute of Technology, North Ave., Atlanta, GA 30332.
2. Ph.D. Student, Georgia Institute of Technology, North Ave., Atlanta, GA 30332 (corresponding author). ORCID: .
Publisher
American Society of Civil Engineers (ASCE)
Subject
Computer Science Applications,Civil and Structural Engineering
Link
http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000726
Reference29 articles.
1. Buza E. Omanovic S. and Huseinovic A. (2013). “Pothole detection with image processing and spectral clustering.” Proc. 2nd Int. Conf. on Information Technology and Computer Networks Innovative Research Publication Amritsar India 48–53.
2. Chang K. Chang J. and Liu J. (2005). “Detection of pavement distresses using 3D laser scanning technology.” Int. Conf. on Computing in Civil Engineering Association for Computing Machinery New York 1–11.
3. De Zoysa K. Keppitiyagama C. Seneviratne G. P. and Shihan W. (2007). “A public transport system based sensor network for road surface condition monitoring.” Proc. 2007 Workshop on Networked Systems for Developing Regions Association for Computing Machinery New York 9.
4. Eriksson J. Girod L. Hull B. Newton R. Madden S. and Balakrishnan H. (2008). “The pothole patrol: Using a mobile sensor network for road surface monitoring.” Proc. 6th Int. Conf. on Mobile Systems Applications and Services ACM New York 29–39.
5. Hou Z. Wang K. C. and Gong W. (2007). “Experimentation of 3D pavement imaging through stereovision.” Int. Conf. on Transportation Engineering ASCE Reston VA 376–381.
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