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Proceedings Paper

LaneLok: an improved Hough transform algorithm for lane sensing using strategic search methods
Author(s): Surender K. Kenue; David R. Wybo
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Paper Abstract

The lane sensing function detects and estimates the location of road and lane boundaries and is a core function of the Highway Driver's Assistant project within the Intelligent Vehicle Highway System program. The previously developed Hough Transform algorithm for lane sensing was improved significantly by embedding the knowledge of the road geometry and by reducing the area of the transform space. A modified Sobel edge- operator was also developed for detecting edges in the dark to light transition areas. The computational processing time was reduced from 30 seconds/image to 3 seconds/image on a VAX 8600 computer by using temporal knowledge of vehicle motion. The algorithm's improved performance was checked successfully on over 800 images of highway scenes.

Paper Details

Date Published: 1 March 1991
PDF: 13 pages
Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); doi: 10.1117/12.45496
Show Author Affiliations
Surender K. Kenue, General Motors Research Labs. (United States)
David R. Wybo, General Motors Research Labs. (United States)

Published in SPIE Proceedings Vol. 1468:
Applications of Artificial Intelligence IX
Mohan M. Trivedi, Editor(s)

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