Traffic Light Detection is a problem differently approached by many research groups around the world. Here we present a novel technique to detect suspended traffic lights, based on colors and features such as black area of traffic lights or area of lighting lamps. Additionally, the traffic light distance is estimated aiming at slowing down and stopping in the correct position, in case of red light. Some preliminary test results are presented to assess both the detection rate and the distance estimation.
More information:
Moises Diaz-Cabrera, Pietro Cerri, Paolo Medici, Robust real-time traffic light detection and distance estimation using a single camera, Expert Systems with Applications, Volume 42, Issue 8, 15 May 2015, Pages 3911-3923, ISSN 0957-4174, https://dx.doi.org/10.1016/j.eswa.2014.12.037.
Diaz-Cabrera, M.; Cerri, P.; Sanchez-Medina, J., “Suspended traffic lights detection and distance estimation using color features,” IEEE 15th International Conference on Intelligent Transportation Systems (ITSC), 2012, pp.1315,1320, 16-19 Sept. 2012
doi: 10.1109/ITSC.2012.6338765
Post time: Jun-06-2017