traffic-light-detection
There are 14 repositories under traffic-light-detection topic.
erdos-project / pylot
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Language:Python 518alex-lechner / 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.
Language:Jupyter Notebook 121sovit-123 / Traffic-Light-Detection-Using-YOLOv3
Traffic light detection using deep learning with the YOLOv3 framework. PyTorch => YOLOv3
Language:Jupyter Notebook 74JunshengFu / traffic-light-detector
Detect traffic lights and classify the state of them, then give the commands "go" or "stop".
Language:Python 64ser94mor / self-driving-car-using-ros
Entire Self-Driving Car Software Stack Tested on Real Vehicle
Language:Python 59affinis-lab / 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.
Language:Python 44LIU42 / TrafficRules
基于 YOLO11 的路口交通信号灯通行规则识别。
Language:Python 35POSTECH-IMLAB / traffic_light_recognition
traffic light recognition system for ADAS
Language:Python 35farukalamai / traffic-lights-detection-and-color-recognition-using-yolov8
traffic-lights-detection-and-color-recognition-using-yolov8
Language:Jupyter Notebook 33- Language:Python 22
filipbasara0 / simple-object-detection
A simple yet effective repo for object detection based on the FCOS architecture.
Language:Python 18marcomarasca / SDCND-Traffic-Light-Detection
Traffic Light Detection using the tensorflow object detection API
Language:Jupyter Notebook 18sgagankumar / TheGhostCar-AutonomousCarProject
Autonomous Self-Driving Car Prototype - with automatic steering control, traffic sign recognition, traffic light detection and other object detection features.
Language:Python 18maheshpaulj / Traffic-Light-Detection-YOLOv8
The Traffic Light Detection and Classification project aims to enhance autonomous driving systems by accurately detecting and classifying traffic lights. The model is designed to generate appropriate physical responses for vehicles equipped with it.
Language:Python 11shoamco / Mobileye-Project
Traffic light detection
Language:Jupyter Notebook 9mkoehnke / CarND-Capstone
ROS-based code to control a real Self-Driving Car. Final project in Udacity's Self-Driving Car Engineer Nanodegree.
Language:Python 8jiankang1991 / CarND-Capstone-T3-SSD-MobileNetV2
Self driving car capstone project based on ROS and light-weight traffic light detection CNN model
Language:Python 7Kazuhito00 / openlenda-onnx-inference-sample
OpenLendaのPythonでのONNX推論サンプル
Language:Python 6aavista / locate-traffic-lights
Detect traffic lights and their locations from images using computer vision
Language:Python 5Aklilu-Mandefro / python-traffic-light-system
Detect traffic lights and classify the state of them, then give the commands "go" or "stop".
Language:Python 5- SelfDrivingCarND-Capstone
ken-power / SelfDrivingCarND-Capstone
Program a real Self-Driving Car by writing ROS nodes to implement core functionality of the autonomous vehicle system.
Language:CMake 5 yuhogun0908 / Walking-Assistance-System-for-the-Visually-Impaired-in-real-time
Walking Assistance System for the Visually Imparied in real-time
Language:Jupyter Notebook 5StefanBorkovski / Traffic-light-detection
Here a transfer learning solution for traffic light detection is presented. It uses Mask Region-Based Convolutional Neural Network as it base.
Language:Python 4trajkd / Programming-a-Real-Self-Driving-Car
System Integration (project 9 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
Language:CMake 4wlsmith42 / CarND-Capstone
This is the final project in Udacity's Self-Driving Car Engineer Nanodegree where we will implement ROS nodes to control Carla - Udacity's self-driving car.
Language:Python 33omdawy / CarND-System-Integration-Project
System Integration Project using ROS to move a car and detect and obey traffic lights
Language:CMake 1alexandros-m / survive
SURVIVE is a system that deters and helps punish red light violations. This is the software part of our prototype (hardware-sensors) as long as some algorithms to detect cars using only CV (Computer Vision)
Language:C++ 1amaankhan02 / self-driving-car
A self-driving car prototype built using a Raspberry Pi and remote-control car with end-to-end steering prediction, traffic light detection, and obstacle avoidance.
Language:Python 1- Language:CMake 1
SandeepAswathnarayana / Udacity-SDCND-Programming-a-Real-Self-Driving-Car
Capstone Project : In this project, we implement a Real Self Driving Car in python to maneuver the vehicle around the track while following the traffic rules.
Language:Python 1sourav90in / System_Integration
System Integration
Language:Makefile 1Vinod-Koli / CarND-Capstone
Our implementation of System Integration project for Udacity's Self-Driving Car Nano Degree Program!
Language:Python 1fwirthm / CarND-Capstone
Final Project of the Udacity Self-Driving Car Engineer Nanodegree with the goal to develop a an architecture and its underlying components to steer a vehicle autonomously through a full physics simulation environment.
Language:CMake 0SvenMuc / CarND-Capstone
Final project of the Udacity Self-Driving Car Nanodegree
Language:Jupyter Notebook 0TanishqP07 / Traffic-Light-Classifier-using-CV
A machine learning project for traffic light state classification using OpenCV and Python.
Language:Jupyter Notebook 0YichaoOU / self_driving_car
Lane detection and Traffic light detection, for Ohio University PAVE student organization
Language:Jupyter Notebook
