DOI QR코드

DOI QR Code

실외 주행환경을 고려한 카메라 기반의 RTGC 위치계측시스템 개발

Development of a Camera-based Position Measurement System for the RTGC with Environment Conditions

  • 투고 : 2011.04.18
  • 심사 : 2011.07.20
  • 발행 : 2011.09.01

초록

This paper describes a camera-based position measurement system for automatic tracking control of a rubber Tired Gantry Crane (RTGC). An automatic tracking control of RTGC depends on the ability to measure its displacement and angle from a guide line that the RTGC has to follow. The measurement system proposed in this paper is composed of a camera and a PC that are mounted on the right upper between front and rear tires of the RTGC's side. The measurement accuracy of the system is affected by disturbances such as cracks and stains of the guide line, shadows, and halation from the light fluctuation. To overcome the disturbances, both side edges of the guide line are detected as two straight lines from an input image taken by the camera, and parameters of the straight lines are determined by using Hough transform. The displacement and angle of the RTGC from the guide line can be obtained from these parameters with the robustness against the disturbances. From the experiments with the disturbances, we found the accurate displacement and the angle from the guide line that have the standard deviations of 0.95 pixels and 0.22 degrees, respectively.

키워드

참고문헌

  1. K. Obata, T. Sakamoto, N. Yoshioka, N. Fujisawa, H. Yoshikawa, and T. Monzen, "Grid-powered electric transfer crane," Mitsubishi Heavy Industries Technical Review, vol. 47, no. 2, pp. 15-18, 2010.
  2. B. Park, J. Park and Y. Choi, "Adaptive observer-based trajectory tracking control," International Journal of Control, Automation, and System, vol. 9, no. 3, pp. 534-541, 2011. https://doi.org/10.1007/s12555-011-0313-1
  3. S. Suh and Y. Kang, "A robust lane recognition technique for vision-based navigation," International Journal of Control, Automation, and System, vol. 9, no. 3, pp. 348-357, 2011. https://doi.org/10.1007/s12555-011-0217-0
  4. D. Kim and R. B. Langley, "On ultrahigh-precision GPS positioning and navigation," Journal of the Institute of Navigation, vol. 50, no. 2, pp. 103-116, 2003. https://doi.org/10.1002/j.2161-4296.2003.tb00322.x
  5. K. Yasunaga, N. Watanabe, K. Tanouchi, M. Nishioka, and S. Nagashima, "Auto-steering system for transfer crane," Mitsubishi Heavy Industries Technical Review (in Japanese), vol. 37, no. 5, pp. 298-301, 2000.
  6. R. C. Gonzales and R. E. Woods, Digital Image Processing, 2nd Ed., Prentice Hall, 2001.
  7. R. C. Gonzales, R. E. Woods, and S. L. Eddins, Digital Image Processing using MATLAB, Prentice Hall, 2003.
  8. G. Welch and G. Bishop, "An introduction to the Kalman Filter," Technical report TR95-041, University of North Carolina at Chapel Hill, 1995.