Paper
21 January 1994 Real-time vision for driving supervision
Antonio B. Martinez, Joan Batlle, Xavier Cufi, Josep Arasa Marti
Author Affiliations +
Proceedings Volume 2051, International Conference on Optical Information Processing; (1994) https://doi.org/10.1117/12.166061
Event: Optical Information Processing: International Conference, 1993, St. Petersburg, Russian Federation
Abstract
The aim of this work is to propose a computer vision system working at video rate for driving supervision. More specifically we focus on the problem of vehicles running off the road. The system has been designed to make a real time analysis of road images, to determine the position of the white and yellow lines used to mark the road limits and the position of the vehicle relative to these lines. The architecture is composed of 3 main modules: the first module makes a real time color segmentation of the yellow lines. The second hardware module is a specific DSP for straight line detection in any direction. The final module includes a specific algorithm that decides if the line markings at the side of the road are in the zone for safe driving.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Antonio B. Martinez, Joan Batlle, Xavier Cufi, and Josep Arasa Marti "Real-time vision for driving supervision", Proc. SPIE 2051, International Conference on Optical Information Processing, (21 January 1994); https://doi.org/10.1117/12.166061
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KEYWORDS
Roads

Edge detection

Digital signal processing

Image segmentation

Video

Computing systems

Convolution

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