A new quantitative, vision-based approach to road following is presented. Road following is considered as a control, rather than a vision, problem. The approach is based on the theoretical framework of the recently developed optical flow-based visual field theory. By building on the theory, it is suggested that motion commands can be generated directly from a visual feature, or cue, consisting of the projection into the image of the tangent point on the edge of the road, along with the optical flow of this point. Using this cue, several different vision-based control approaches are possible.<>
Visual control signals for road following
1991-01-01
527149 byte
Conference paper
Electronic Resource
English
Engineering Index Backfile | 1930
Visual road following without 3D reconstruction [2103-26]
British Library Conference Proceedings | 1994
|VISUAL AUTONOMOUS ROAD FOLLOWING BY SYMBIOTIC ONLINE LEARNING
British Library Conference Proceedings | 2016
|Semaphore signals for road traffic control
Engineering Index Backfile | 1929