Abstract
Traffic light recognition in night conditions is explored throughout this paper. A system detecting suspended traffic lights in urban streets is proposed. Images are acquired by a color camera installed on the roof of a car. Fuzzy logic-based clustering provides robust color detection. Additionally, other techniques end up recognizing the traffic light state. The detection rate is quite high and the false positive proportion is really low. © 2013 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Diaz-Cabrera, M., & Cerri, P. (2013). Traffic light recognition during the night based on fuzzy logic clustering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8112 LNCS, pp. 93–100). Springer Verlag. https://doi.org/10.1007/978-3-642-53862-9_13
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