Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
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Updated
Mar 24, 2023 - Python
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Detect traffic lights and classify the state of them, then give the commands "go" or "stop".
Entire Self-Driving Car Software Stack Tested on Real Vehicle
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.
traffic light recognition system for ADAS
Machine Learning Based Real-Time Traffic Light Alert on Your Car with Raspberrypi
Autonomous Self-Driving Car Prototype - with automatic steering control, traffic sign recognition, traffic light detection and other object detection features.
A simple yet effective repo for object detection based on the FCOS architecture.
ROS-based code to control a real Self-Driving Car. Final project in Udacity's Self-Driving Car Engineer Nanodegree.
Self driving car capstone project based on ROS and light-weight traffic light detection CNN model
Detect traffic lights and classify the state of them, then give the commands "go" or "stop".
一种基于 YOLOv8 的路口交通信号灯通行规则识别模型及算法
Here a transfer learning solution for traffic light detection is presented. It uses Mask Region-Based Convolutional Neural Network as it base.
OpenLendaのPythonでのONNX推論サンプル
Detect traffic lights and their locations from images using computer vision
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.
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.
Our implementation of System Integration project for Udacity's Self-Driving Car Nano Degree Program!
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.
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