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.
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Diaz-Cabrera, M., Cerri, P. (2013). Traffic Light Recognition During the Night Based on Fuzzy Logic Clustering. In: Moreno-DÃaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2013. EUROCAST 2013. Lecture Notes in Computer Science, vol 8112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53862-9_13
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DOI: https://doi.org/10.1007/978-3-642-53862-9_13
Publisher Name: Springer, Berlin, Heidelberg
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