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Proceedings Paper

Vision-based algorithms for near-host object detection and multilane sensing
Author(s): Surender K. Kenue
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Paper Abstract

Vision-based sensing can be used for lane sensing, adaptive cruise control, collision warning, and driver performance monitoring functions of intelligent vehicles. Current computer vision algorithms are not robust for handling multiple vehicles in highway scenarios. Several new algorithms are proposed for multi-lane sensing, near-host object detection, vehicle cut-in situations, and specifying regions of interest for object tracking. These algorithms were tested successfully on more than 6000 images taken from real-highway scenes under different daytime lighting conditions.

Paper Details

Date Published: 6 January 1995
PDF: 17 pages
Proc. SPIE 2344, Intelligent Vehicle Highway Systems, (6 January 1995); doi: 10.1117/12.198908
Show Author Affiliations
Surender K. Kenue, General Motors Research and Development Ctr. (United States)

Published in SPIE Proceedings Vol. 2344:
Intelligent Vehicle Highway Systems
Richard J. Becherer, Editor(s)

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