traffic-light-detection topic
pylot
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Traffic-Light-Classification
A detailed tutorial on how to build a traffic light classifier with TensorFlow for the capstone project of Udacity's Self-Driving Car Engineer Nanodegree Program.
Traffic-Light-Detection-Using-YOLOv3
Traffic light detection using deep learning with the YOLOv3 framework. PyTorch => YOLOv3
traffic_light_recognition
traffic light recognition system for ADAS
SDCND-Traffic-Light-Detection
Traffic Light Detection using the tensorflow object detection API
self-driving-car-using-ros
Entire Self-Driving Car Software Stack Tested on Real Vehicle
traffic-light-detector
Detect traffic lights and classify the state of them, then give the commands "go" or "stop".
traffic-light-detection-module
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.
co-pilot
Machine Learning Based Real-Time Traffic Light Alert on Your Car with Raspberrypi
TheGhostCar-AutonomousCarProject
Autonomous Self-Driving Car Prototype - with automatic steering control, traffic sign recognition, traffic light detection and other object detection features.