By Topic

Contrast-invariant Obstacle Detection System using Color Stereo Vision

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Iyadh Cabani ; Laboratoire LITIS, INSA de Rouen, Campus du Madrillet, Avenue de I'Université, 76801 Saint-Etienne-du-Rouvray Cedex, France. Email: iyadh.cabani@insa-rouen.fr ; Gwenaelle Toulminet ; Abdelaziz Bensrhair

In this article, we present a color stereo vision system conceived to detect road obstacles. Color matching algorithm based on dynamic programming is presented. This algorithm is invariant in the contrast. With this property, the gain of cameras is configured in automatic mode without decrease the performance of color matching. As a consequence, 3D edges of obstacle are correctly extracted even in difficult cases (for example, entrance and exit of the tunnel). Experimental results are shown in the last section of the paper.

Published in:

2008 11th International IEEE Conference on Intelligent Transportation Systems

Date of Conference:

12-15 Oct. 2008