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Proceedings Paper

Pattern recognition applied to infrared images for early alerts in fog
Author(s): Vincent Boucher; Mario Marchetti; Jean Dumoulin; Aurélien Cord
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Paper Abstract

Fog conditions are the cause of severe car accidents in western countries because of the poor induced visibility. Its forecast and intensity are still very difficult to predict by weather services. Infrared cameras allow to detect and to identify objects in fog while visibility is too low for eye detection. Over the past years, the implementation of cost effective infrared cameras on some vehicles has enabled such detection. On the other hand pattern recognition algorithms based on Canny filters and Hough transformation are a common tool applied to images. Based on these facts, a joint research program between IFSTTAR and Cerema has been developed to study the benefit of infrared images obtained in a fog tunnel during its natural dissipation. Pattern recognition algorithms have been applied, specifically on road signs which shape is usually associated to a specific meaning (circular for a speed limit, triangle for an alert, …). It has been shown that road signs were detected early enough in images, with respect to images in the visible spectrum, to trigger useful alerts for Advanced Driver Assistance Systems.

Paper Details

Date Published: 23 September 2014
PDF: 9 pages
Proc. SPIE 9223, Remote Sensing System Engineering V, 92230E (23 September 2014); doi: 10.1117/12.2061779
Show Author Affiliations
Vincent Boucher, Cerema/DTer Ouest (France)
Mario Marchetti, Cerema/DTer Est (France)
Jean Dumoulin, Institut Francais des Sciences et Technologies des Transports de l'amenagement et des Reseaux (France)
Institut de Recherche en Informatique et Systèmes Aléatoires (France)
Aurélien Cord, Institut Francais des Sciences et Technologies des Transports de l'amenagement et des Reseaux (France)

Published in SPIE Proceedings Vol. 9223:
Remote Sensing System Engineering V
Philip E. Ardanuy; Jeffery J. Puschell, Editor(s)

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