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 vehicles’ boundaries detected by the radar and to discard those who might be false positives; at the same time, a symmetry based pedestrian detection algorithm is executed, and its results are merged with a set of regions of interest, provided by a Motion Stereo technique.
Obstacle detection and classification fusing radar and vision
2008 IEEE Intelligent Vehicles Symposium ; 608-613
2008-06-01
1138714 byte
Conference paper
Electronic Resource
English
Obstacle Detection and Classification Fusing Radar and Vision
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