SimpleTrafficLightDetection

Simple Traffic Light (Currently only HORIZONTAL RED light) Detection using Python OpenCV

Required libraries:

• Python OpenCV
• Numpy
• Sklearn

Usage:

After installing required libs simply run the provided script and follow on-screen instructions. The pre-trained classification models are (obviously) included.

References

• Chen, Zhilu, and Xinming Huang. "Accurate and Reliable Detection of Traffic Lights Using Multiclass Learning and Multiobject Tracking." IEEE Intelligent Transportation Systems Magazine 8.4 (2016): 28-42.
• R. de Charette and F. Nashashibi, “Real time visual traffic lights recognition based on Spot Light Detection and adaptive traffic lights templates,” 2009 IEEE Intelligent Vehicles Symposium, Xian: IEEE, 2009, pp. 358-363.
• R. de Charette and F. Nashashibi, “Traffic light recognition using image processing compared to learning processes,” 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Saint Louis: IEEE, 2009, pp. 333-338.