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This paper presents a system whose aim is to detect and classify road obstacles, like pedestrians and vehicles, by fusing data coming from different sensors: a camera, a radar, and an inertial sensor. The camera is mainly used to refine the vehiclespsila boundaries detected by the radar and to discard those who might be false positives; at the same time, a symmetry based pedestrian detection algorithm...
In this paper, an algorithm is proposed to identify and track moving objects for the autonomous vehicles target following application. It is a difficult problem because both the targets and the cameras are moving. Here, optical flow fields, color features, stereo pair disparity are used as visual features while vehicles' motion sensors are used to determine the camera motion. Then this paper proposes...
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