淡江大學機構典藏:Item 987654321/83720
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    题名: Vision-Based Tracking and Position Estimation of Moving Targets for Unmanned Helicopter Systems
    作者: Lin, Chien-Hong;Hsiao, Fu-Yuen;Hsiao, Fei-Bin
    贡献者: 淡江大學航空太空工程學系
    关键词: Target tracking and position estimation;image processing;Kalman filtering;unmanned helicopter
    日期: 2013-01
    上传时间: 2013-03-20 16:56:37 (UTC+8)
    出版者: Hoboken: Wiley-Blackwell Publishing, Inc.
    摘要: The primary goal of this study is to track a ground-moving target using a machine-vision system installed on an unmanned helicopter, and to estimate its position if the target becomes unobservable. The machine-vision system is accomplished using real-time color images obtained from a charge-coupled device (CCD) camera mounted on a computer-controlled gimbaled system that can pitch and yaw. To avoid real-time image-tracking failure resulting from a moving target becoming concealed, the Kalman filtering technique is applied to predict the target's follow-on position, so that the camera can continuously track the target. The entire system is initially tested on the ground and then mounted on a helicopter for in-flight testing. The following three cases are shown in the flight tests: (1) an uncovered static target; (2) a moving visible target; and (3) a target that moves in a straight line at a constant speed and becomes temporarily concealed. The vision-based tracking system with the developed algorithm is successfully applied in all three cases.
    關聯: Asian Journal of Control 15(5), pp.1270–1283
    DOI: 10.1002/asjc.654
    显示于类别:[航空太空工程學系暨研究所] 期刊論文

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