Popular GitHub Repositories for Traffic Light

Detection of traffic lights and driving on red light.

Module for detecting traffic lights in the CARLA autonomous driving simulator. Based on the YOLO v2 deep learning object detection model and implemented in keras, using the tensorflow backend.

A deep learning and computer vision based warning indicator system for the vehicle drivers using live dash-cam footage.

In this project, we built ROS nodes to implement the core functionality of the autonomous vehicle system, including traffic light detection and classification, vehicle control control, and waypoint following.

A simple yet effective repo for object detection based on the FCOS architecture.

Pedestrian Traffic Light Detector for visually impaired people

Optimize traffic flow at intersections with a Deep Q-Learning agent. Utilizes reinforcement learning to control traffic signals efficiently.

Reinforcement Learning for Traffic Signal Optimization. We significantly reduce travel time compared to existing signal timing methods by training RL agents with omnipresent induction sensor data.

Linux Build for training of traffic signal project on Colab

SITAR: Evaluating the Adversarial Robustness of Traffic Light Recognition in Level-4 Autonomous Driving