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.
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Updated
Nov 13, 2020 - CMake
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.
Lane detection and Traffic light detection, for Ohio University PAVE student organization
Final project of the Udacity Self-Driving Car Nanodegree
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)
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.
System Integration
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.
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.
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
Walking Assistance System for the Visually Imparied in real-time
System Integration (project 9 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
Program a real Self-Driving Car by writing ROS nodes to implement core functionality of the autonomous vehicle system.
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
Self driving car capstone project based on ROS and light-weight traffic light detection CNN model
traffic-lights-detection-and-color-recognition-using-yolov8
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