DocumentCode :
2919133
Title :
Visual control signals for road following
Author :
Raviv, Daniel ; Herman, Martin
Author_Institution :
Nat. Inst. of Standards & Technol., Gaithersburg, MD, USA
fYear :
1991
fDate :
13-15 Aug 1991
Firstpage :
436
Lastpage :
442
Abstract :
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
Keywords :
computer vision; navigation; pattern recognition; position control; road vehicles; cue; motion commands; navigation; optical flow-based visual field theory; position control; road following; road vehicles; vision-based control; visual feature; Cameras; Image motion analysis; Intelligent robots; Intelligent sensors; Intelligent systems; NIST; Optical sensors; Roads; Robot sensing systems; Robot vision systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control, 1991., Proceedings of the 1991 IEEE International Symposium on
Conference_Location :
Arlington, VA
ISSN :
2158-9860
Print_ISBN :
0-7803-0106-4
Type :
conf
DOI :
10.1109/ISIC.1991.187397
Filename :
187397
Link To Document :
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