Traffic Light Recognition During the Night Based on Fuzzy Logic Clustering

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.

[1]  Y.K. Kim,et al.  Real Time Traffic Light Recognition System for Color Vision Deficiencies , 2007, 2007 International Conference on Mechatronics and Automation.

[2]  Jay A. Farrell,et al.  Real-Time Computer Vision/DGPS-Aided Inertial Navigation System for Lane-Level Vehicle Navigation , 2012, IEEE Transactions on Intelligent Transportation Systems.

[3]  Chris Urmson,et al.  Traffic light mapping and detection , 2011, 2011 IEEE International Conference on Robotics and Automation.

[4]  Shinichiro Omachi,et al.  Detection of traffic light using structural information , 2010, IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS.

[5]  F. Lindner,et al.  Robust recognition of traffic signals , 2004, IEEE Intelligent Vehicles Symposium, 2004.

[6]  M. Omachi,et al.  Traffic light detection with color and edge information , 2009, 2009 2nd IEEE International Conference on Computer Science and Information Technology.

[7]  Johann Marius Zöllner,et al.  Visual state estimation of traffic lights using hidden Markov models , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

[8]  A. Glassner.  Fill 'Er Up! , 2001, IEEE Computer Graphics and Applications.

[9]  Y. Chung,et al.  A Vision-Based Traffic Light Detection System at Intersections , 2002 .

[10]  Javier J. Sánchez Medina,et al.  Suspended traffic lights detection and distance estimation using color features , 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.

[11]  Fawzi Nashashibi,et al.  Real time visual traffic lights recognition based on Spot Light Detection and adaptive traffic lights templates , 2009, 2009 IEEE Intelligent Vehicles Symposium.