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Proceedings Paper

Lanelok: Detection Of Lane Boundaries And Vehicle Tracking Using Image-Processing Techniques -Part II: Template Matching Algorithms
Author(s): Surender K. Kenue
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Paper Abstract

Sensing lane boundaries is a core capability for advanced automotive functions such as collision warning, collision avoidance and automatic vehicle-guidance. Part I of this study described special image-processing algorithms for the detection of lane boundaries and vehicle tracking, using images from a video camera. Part II of this study describes a new algorithm for detecting lane boundaries using template matching. This technique was selected because of its speed and its ability to include additional knowledge--two characteristics which are required for real-time, on-board vehicle applications. The algorithm has been tested successfully on over 3000 frames of videotape from interstate highways I-75 and I-94.

Paper Details

Date Published: 1 March 1990
PDF: 12 pages
Proc. SPIE 1195, Mobile Robots IV, (1 March 1990); doi: 10.1117/12.969886
Show Author Affiliations
Surender K. Kenue, General Motors Research Laboratories (United States)


Published in SPIE Proceedings Vol. 1195:
Mobile Robots IV
Wendell H. Chun; William J. Wolfe, Editor(s)

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