Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
-
Updated
Mar 24, 2023 - Python
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
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 recognition system for ADAS
Detect traffic lights and classify the state of them, then give the commands "go" or "stop".
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.
Entire Self-Driving Car Software Stack Tested on Real Vehicle
Traffic light detection using deep learning with the YOLOv3 framework. PyTorch => YOLOv3
Traffic Light Detection using the tensorflow object detection API
ROS-based code to control a real Self-Driving Car. Final project in Udacity's Self-Driving Car Engineer Nanodegree.
Machine Learning Based Real-Time Traffic Light Alert on Your Car with Raspberrypi
Our implementation of System Integration project for Udacity's Self-Driving Car Nano Degree Program!
traffic-lights-detection-and-color-recognition-using-yolov8
Traffic light detection
Walking Assistance System for the Visually Imparied in real-time
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.
一种基于 YOLOv8 的路口交通信号灯通行规则识别模型及算法
Detect traffic lights and classify the state of them, then give the commands "go" or "stop".
Here a transfer learning solution for traffic light detection is presented. It uses Mask Region-Based Convolutional Neural Network as it base.
System Integration (project 9 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
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.
Add a description, image, and links to the traffic-light-detection topic page so that developers can more easily learn about it.
To associate your repository with the traffic-light-detection topic, visit your repo's landing page and select "manage topics."