Real Time Driving-Aid System for Different Lighting Conditions, on Board a Road Vehicle

Garrido, Miguel Ángel G.; Sotelo, Miguel Ángel; Martín-Gorostiza, Ernesto; Parra, Ignacio
Year: 2006
Type of Publication: In Proceedings
Keywords: Hough transform; Kalman filter; camera; circular signs; image information; lighting conditions; neural network; real time driving-aid system; road vehicle; traffic-sign classification; traffic-sign detection; triangular signs; Kalman filters; edge detection; image clas
Book title: IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Pages: 621 -626
Month: nov.
ISBN: 1553-572X
DOI: 10.1109/IECON.2006.348048
In this work a system for traffic-sign detection and classification under different lighting conditions is shown. It is intended for circular and triangular signs. The system is composed of three stages: first, detection, using the Hough transform for lines and circumferences from the information of the edges of the image instead of the whole image information; second, tracking, making use of a Kalman filter, which provides the system with memory, and third, classification, using a neural network. Some results are presented, obtained with real images recorded by only one camera placed on board a conventional vehicle, in sunny, cloudy and rainy days, and also at night, in order to show the reliability and robustness of the system with different light conditions. The average processing time is 30 ms per frame, what makes this work a good approach to work in real time conditions
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