Traffic Light Recognition During the Night Based on Fuzzy Logic Clustering

  • Moises Diaz-Cabrera
  • Pietro Cerri
Conference paper

DOI: 10.1007/978-3-642-53862-9_13

Volume 8112 of the book series Lecture Notes in Computer Science (LNCS)
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

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.

Keywords

Traffic Lights Detection Advanced Driver Assistance System (ADAS) Patter Recognition Image Processing Color Threshold Segmentation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Moises Diaz-Cabrera
    • 1
  • Pietro Cerri
    • 2
  1. 1.University of Las Palmas de Gran CanariaSpain
  2. 2.VisLabUniversity of ParmaItaly