Courtney S. Sharp

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W e present the design ami implementation of a real-time computer vision syslem for a rotor-craft un-manned aerial vehicle to land onto a known landing target. This vision system consists of customized software and off-the-shelf harc!ware which perform image processing, segmentation, feature point extraction, camera pan/tilt control, and motion estimation.(More)
We present a multiple view algorithm for vision based landing of an unmanned aerial vehicle. Our algorithm is based on our recent results in multiple view geometry which exploit the rank deficiency of the so called multiple view matrix. We show how the use of multiple views significantly improves motion and structure estimation. We compare our algorithm to(More)
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