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.

🖍️ This project achieves some functions of image identification for Self-Driving Cars. First, use yolov5 for object detection. Second, image classification for traffic light and traffic sign. Furthermore, the GUI of this project makes it more user-friendly for users to realize the image identification for Self-Driving Cars.

Machine Learning Based Real-Time Traffic Light Alert on Your Car with Raspberrypi

HSV色彩空间下的交通灯识别

Traffic lights tracking and color detection with OpenCV. Combination of a MOSSE tracker and inner freehand rectangles.

Traffic Light Protocol - meeting classification

System Integration (project 9 of 9 from Udacity Self-Driving Car Engineer Nanodegree)

System Integration

Artificial Intelligence Based spectacles for blind people that enables them to know what is happening in their surrounding

Integration of Multiple Algorithms using ROS to run on Carla, Udacity's Self-Driving Car

ROS-based code to control a real Self-Driving Car. Final project in Udacity's 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.

Capstone project of Udacity's Self Driving Car Engineer Nanodegree

[Udacity] Projects for Introduction to Self-Driving Cars Nanodegree by Udacity

Image processing pipeline for detecting and classifying circular and directional traffic lights

Udacity ISDC Traffic Light Classifier Project v01