Location of pavement surface distress using digital processing - a survey

• Autorzy: Marchewka A.
• Języki publikacji: EN

Abstrakty

EN

This article was reviewed research into prior of aspect identifying and locating pavement deterioration and cracking with using video image processing. This paper is divided into two parts. In first section we presented location camera acquisition in different configure. Next we characterized and reviewed research in road defect detection.

Słowa kluczowe

EN

pavement surface distress; image processing; segmentation

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2008
• Tom: Vol. 13, no 3-4
• Strony: 47--52
• Opis fizyczny: Bibliogr. 13 poz., rys.

Twórcy

autor

Marchewka A.

• Institute of Telecommunication, University of Technology and Life Sciences, Kaliskiego 7, 85-791 Bydgoszcz

Bibliografia

• [1] ASTM Standard practice for roads and parking lots Pavement Condition Index surveys, 1999. ASTM designation D 6433-99.
• [2] Austroads. A Guide to the Visual assessment of pavement condition, 1987. Sydney.
• [3] Chan, P., L.L. Rao, and R.L. Lytton Development of Image Algorithms for Automated Pavement Distress Evaluation System. FHWA Report TX-92/1189-2F. TX: Texas Transportation Institute, Texas A and M University, 1992.
• [4] FHWA Distress identification manual for the long-term pavement performance project, 2003. FHWA-RD-03-031.
• [5] GDDP - BSSD, System oceny stanu nawierzchni SOSN - wytyczne stosowania, 2002, Warszawa.
• [6] Y. Maode, B. Shaobo, X. Kun, H. Yuyao, Pavement Crack Detection and Analysis for High-grade Highway The Eighth International Conference on Electronic Measurement and Instruments ICEMI 2007.
• [7] S. Sorncharean, S. Phiphobmongkol, Crack Detection on Asphalt Surface Image Using Enhanced Grid Cell Analysis, 4th IEEE International Symposium on Electronic Design, Test & Applications, 49-54 IEEE Computer Society, Washington, DC, USA, 2008.
• [8] P. Subirats, O. Fabre, J. Dumoulin, V. Legeay, D. Barba A Combined Wavelet-Based Image Processing Method for Emergent Crack Detection on Pavement Surface Images,Vienna, Austria, EUSIPCO 2004,
• [9] P. Subirats, J. Dumoulin, V. Legeay and D. Barba Automation of Pavement Surface Crack Detection Using The Continuous Wavelet Transform, ICIP, pp. 3037-3040, 2006,
• [10] N. T. Sy, M. Avila, S. Begot, J. C. Bardet, Detection of Defects in Road Surface by a Vision System, The 14th IEEE Mediterranean, 847 - 851, Electrotechnical Conference, MELECON 2008.
• [11] E. Teomete, V. R. Amin, H. Ceylan, O. Smadi Digital Image Processing for Pavement Distress Analyses, Proceedings of the 2005 Mid-Continent Transportation Research Symposium, Ames, Iowa, 2005.
• [12] F. Yusuke and M. Yoshihiro and H. Yoshihiko, A Method for Crack Detection on a Concrete Structure, ICPR ‘06: Proceedings of the 18th International Conference on Pattern Recognition, 901-904, IEEE Computer Society, Washington, DC, USA, 2006,
• [13] B. Xu, Y. Huang, Automatic Inspection of Pavement Cracking Distress, Journal of Electronic Imaging, vol. 15, 2006.