DOI QR코드

DOI QR Code

Light Source Target Detection Algorithm for Vision-based UAV Recovery

  • Won, Dae-Yeon (Division of Aerospace Engineering, School of Mechanical, Aerospace and Systems Engineering Korea Advanced Institute of Science and Technology (KAIST)) ;
  • Tahk, Min-Jea (Division of Aerospace Engineering, School of Mechanical, Aerospace and Systems Engineering Korea Advanced Institute of Science and Technology (KAIST)) ;
  • Roh, Eun-Jung (UAV Group, Korea Institute of Aerospace Technology, Korean Air) ;
  • Shin, Sung-Sik (UAV Group, Korea Institute of Aerospace Technology, Korean Air)
  • 발행 : 2008.11.30

초록

In the vision-based recovery phase, a terminal guidance for the blended-wing UAV requires visual information of high accuracy. This paper presents the light source target design and detection algorithm for vision-based UAV recovery. We propose a recovery target design with red and green LEDs. This frame provides the relative position between the target and the UAV. The target detection algorithm includes HSV-based segmentation, morphology, and blob processing. These techniques are employed to give efficient detection results in day and night net recovery operations. The performance of the proposed target design and detection algorithm are evaluated through ground-based experiments.

키워드

참고문헌

  1. K. W. Williams. "A Summary of Unmanned Aircraft Accident/Incident Data: Human Factors Implications", U.S. Department of Transportation Report No. DOT/FAA/AM-04/24, 2004
  2. B. Min, M. Tahk, D. H. Shim and H. Bang, "Guidance Law for Vision-Based Automatic Landing of UAV", KSAS International Journal, Vol. 8, No. 1, May, pp. 46-53, 2007 https://doi.org/10.5139/IJASS.2007.8.1.046
  3. Dow Corning Corporation. Web site. "http:// www.dowcorning.com/"
  4. R. C. Gonzalez and R. E. Woods, Digital Image Processing, Prentice-Hall, New Jersey, 2002
  5. P. C. Mahalanobis, "On the generalized distance in statistics", Proceedings of the National Institute of Science of India, 1936
  6. OpenCV library, http://www.sourceforge.net/projects/opencvlibrary