Paper
1 March 1992 Nonreconstruction approach for road following
Daniel Raviv, Martin Herman
Author Affiliations +
Abstract
This paper presents a new approach for vision-based autonomous road following. By building on a recently developed optical-flow-based theory, we suggest 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 visual cue, there is no need to reconstruct the 3-D scene, and the related computations are relatively simple. We suggest some vision-based partial control algorithms for both circular and non-circular roads.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel Raviv and Martin Herman "Nonreconstruction approach for road following", Proc. SPIE 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, (1 March 1992); https://doi.org/10.1117/12.135077
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Roads

Cameras

Optical flow

Robot vision

Visualization

3D image processing

Computer vision technology

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