Tracking lane and pavement edges using deformable templates

Karl C. Kluge; Chris M. Kreucher; Sridhar Lakshmanan

doi:10.1117/12.317467

30 July 1998 Tracking lane and pavement edges using deformable templates

Karl C. Kluge, Chris M. Kreucher, Sridhar Lakshmanan

Proceedings Volume 3364, Enhanced and Synthetic Vision 1998; (1998) https://doi.org/10.1117/12.317467
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Karl C. Kluge, Chris M. Kreucher, and Sridhar Lakshmanan "Tracking lane and pavement edges using deformable templates", Proc. SPIE 3364, Enhanced and Synthetic Vision 1998, (30 July 1998); https://doi.org/10.1117/12.317467

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