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Proceedings Paper

Automated stop-and-go driving with computer vision
Author(s): Andreas Kuehnle
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Paper Abstract

A computer vision-based system for stop and go driving is presented. The horizontal edges characteristics of vehicles are extracted with a model-based filter. Symmetric groups of horizontal lines indicate the centerlines of vehicles in the scene. Discontinuities in the lines indicate the edges of the vehicles. The centerline and width of the vehicles gives the bearing and approximate range to them. This approximate range is filtered and used to maintain a safe distance to the vehicle ahead.

Paper Details

Date Published: 1 November 1992
PDF: 11 pages
Proc. SPIE 1826, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods, (1 November 1992); doi: 10.1117/12.131627
Show Author Affiliations
Andreas Kuehnle, Daimler-Benz AG (Sweden)


Published in SPIE Proceedings Vol. 1826:
Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods
David P. Casasent, Editor(s)

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