Traffic light recognition using deep neural networks

Gwang-Gook Lee, Byung Kwan Park

Abstract: Conventional traffic light detection methods often suffers from false positives in urban environment because of the complex backgrounds. To overcome such limitation, this paper proposes a method that combines a conventional approach, which is fast but weak to false positives, and a DNN, which is not suitable for detecting small objects but a very powerful classifier. Experiments on real data showed promising results.

External IDs:dblp:conf/iccel/LeeP17