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Proceedings Paper

Tracking lane and pavement edges using deformable templates
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Paper Abstract

Experiments with the LOIS (Likelihood Of Image Shape) Lane detector have demonstrated that the use of a deformable template approach allows robust detection of lane boundaries in visual images. The same algorithm has been applied to detect pavement edges in millimeter wave radar images. In addition to ground vehicle applications involving lane sensing, the algorithm is applicable to airplane applications for tracking runways in either visual or radar data. Previous work on LOIS has focused on the problem of detecting lane edges in individual frames. This paper describes extensions to the LOIS algorithm which allow it to smoothly track lane edges through maneuvers such as lane changes.

Paper Details

Date Published: 30 July 1998
PDF: 10 pages
Proc. SPIE 3364, Enhanced and Synthetic Vision 1998, (30 July 1998); doi: 10.1117/12.317467
Show Author Affiliations
Karl C. Kluge, Univ. of Michigan (United States)
Chris M. Kreucher, Univ. of Michigan (United States)
Sridhar Lakshmanan, Univ. of Michigan (United States)


Published in SPIE Proceedings Vol. 3364:
Enhanced and Synthetic Vision 1998
Jacques G. Verly, Editor(s)

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