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Title: Traffic light recognition during the night based on fuzzy logic clustering
Authors: Diaz-Cabrera, Moises 
Cerri, Pietro
Issue Date: 2013
Publisher: 0302-9743
Journal: Lecture Notes in Computer Science 
Conference: 14th International Conference on Computer Aided Systems Theory (EUROCAST) 
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.
ISBN: 9783642538612
ISSN: 0302-9743
DOI: 10.1007/978-3-642-53862-9_13
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 8112 LNCS, p. 93-100
Appears in Collections:Actas de congresos
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