Anderson Lebbad

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This paper presents a visual perception system for an autonomous unmanned surface vehicle (USV). The vision system used is a combination of two primary sensors - a video camera, and a gimbaled planar LID AR system. Fusion between these sensors is used to identify targets and obstacles by both depth and color. A probabilistic color analysis method developed(More)
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