Traffic Light Recognition During the Night Based on Fuzzy Logic Clustering
- Cite this paper as:
- Diaz-Cabrera M., Cerri P. (2013) Traffic Light Recognition During the Night Based on Fuzzy Logic Clustering. In: Moreno-Díaz 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
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.
KeywordsTraffic Lights Detection Advanced Driver Assistance System (ADAS) Patter Recognition Image Processing Color Threshold Segmentation
Unable to display preview. Download preview PDF.