🚦 Raspberry Pi project to revive an old traffic light
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Updated
Jul 13, 2017 - Python
🚦 Raspberry Pi project to revive an old traffic light
Experiments around traffic lights
build a traffic light with Raspberry Pi (Zero) and Pimoroni Blinkt!
A TensorFlow implementation of TrafficLightNeuralNetwork (ANN-based Traffic Light Controller).
TAG Team implementation of the system integration capstone project in the Udacity Self-Driving Car Nanodegree Program.
Capstone project for Udacity's Self Driving Car Nanodegree
Detection of the direction of green light arrow(up, right and left).
Q-Learning for Urban Traffic Optimization
A neural network that controls a traffic light simulator
Use of Computer Vision to control Traffic Light
IoT based project to monitor traffic using Raspberry Pi, Pi Camera, RFID MFRC522 Module and GPIO pins.
Detect and recognise traffic lights using Hough circle transform implemented with OpenCV and Python
Our solutions for Google Hashcode 2021 Traffic Signalling
A deep learning and computer vision based warning indicator system for the vehicle drivers using live dash-cam footage.
traffic light recognition system for ADAS
Implementation of a multi-agent system for the modeling of carpooling in a city with one-way streets. Used Python and the Mesa package for multi-agent modeling.
Reinforcement Learning for Traffic Signal Optimization. We significantly reduce travel time compared to existing signal timing methods by training RL agents with omnipresent induction sensor data.
An attempt of our team to tackle the problem of traffic congestion using deep learning and IoT
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