Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Development of a Vision-based Crack Detection Algorithm for Bridge Inspection

교량점검을 위한 비전 기반의 균열검출 알고리즘 개발

  • Published : 2008.07.01
Download PDF
⟨ Previous Next ⟩

Abstract

We have developed a vision based crack detection system and algorithm to inspect base side of bridges. After human operator decides from vision images captured if lines on base side are cracks or dirt, our algorithm finds automatically the length, the width and the shape of cracks. The system has been tested with a robot extender on a truck in real environment and has been proved to be very useful to reduce inspection cost as well as the data management.

Keywords

References

  1. X. Feng, "Practical., interactive, and object-oriented machine vision for highway crack sealing," Journal of Transportation Engineering, vol. 131, pp. 451-459, June 2005 https://doi.org/10.1061/(ASCE)0733-947X(2005)131:6(451)
  2. Y. Huang and B. Xu, "Automatic inspection of pavement cracking distress," Center for Transportation Research at The University of Texas at Austin., September 2006
  3. P. M. Dare, H. B. Hanley, C. S. Fraser, B. Diedel, and W. Niemeier, "An operational application of automatic feature extraction : The measurement of cracks in concrete structures," Photogramm, vol. 17, pp. 453-464, April 2002 https://doi.org/10.1111/0031-868X.00198
  4. L. C. Chen and Y C. Shao, "Measuring system for cracks in concrete using multitemporal images," Journal of Surveying Engineering, vol. 132, pp. 77-82, May 2006 https://doi.org/10.1061/(ASCE)0733-9453(2006)132:2(77)
  5. William K. Pratt, Digital image Processing, A John Wiley&Sons, New Jersey, 2007
  6. John, C. Russ, The image Processing Handbook, Taylor & Francis, USA, 1989
  7. 이병주, 이원태, 이창근, 박창호, "무인 교량점검로봇 U-BIROS 개발," 한국구조물진단학회, 제10권 제2호, 2006

Cited by

  1. A Taxonomy of Vision Systems for Ground Mobile Robots vol.11, pp.7, 2014, https://doi.org/10.5772/58900