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http://dx.doi.org/10.5139/IJASS.2008.9.2.114

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)
Publication Information
International Journal of Aeronautical and Space Sciences / v.9, no.2, 2008 , pp. 114-120 More about this Journal
Abstract
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.
Keywords
Target detection; BWB UAV; Vision-based recovery;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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