6 January 1995 Vision-based algorithms for near-host object detection and multilane sensing
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Proceedings Volume 2344, Intelligent Vehicle Highway Systems; (1995) https://doi.org/10.1117/12.198908
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Surender K. Kenue, Surender K. Kenue, "Vision-based algorithms for near-host object detection and multilane sensing", Proc. SPIE 2344, Intelligent Vehicle Highway Systems, (6 January 1995); doi: 10.1117/12.198908; https://doi.org/10.1117/12.198908
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