Lanelok: Detection Of Lane Boundaries And Vehicle Tracking Using Image-Processing Techniques -Part II: Template Matching Algorithms

Surender K. Kenue

doi:10.1117/12.969886

1 March 1990 Lanelok: Detection Of Lane Boundaries And Vehicle Tracking Using Image-Processing Techniques -Part II: Template Matching Algorithms

Surender K. Kenue

Author Affiliations +

Proceedings Volume 1195, Mobile Robots IV; (1990) https://doi.org/10.1117/12.969886
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

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.

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Surender K. Kenue "Lanelok: Detection Of Lane Boundaries And Vehicle Tracking Using Image-Processing Techniques -Part II: Template Matching Algorithms", Proc. SPIE 1195, Mobile Robots IV, (1 March 1990); https://doi.org/10.1117/12.969886

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