EARLY OBSTACLE DETECTION USING REGION SEGMENTATION AND MODEL BASED EDGE GROUPING
1998
In this paper, the authors describe an early obstacle detection method which analyzes a sequence of images recorded by a forward-looking television camera that is mounted on a vehicle. Obstacle hypotheses are formulated by evaluating the luminance differences between obstacle and road surface and correlating the motion in succeeding images. A dynamic model-based matching algorithm is used to recognize and validate the obstacle.
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