ImVisible: Pedestrian Traffic Light (PTL) Dataset, Lightweight CNN (LytNet), and Mobile Application for the Visually Impaired (CAIP '19, ICCV Workshops '19)

Detection of traffic lights and driving on red light.

the project includes system design of a t intersection traffic light controller and its verilog code in vivado design suite.

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

OpenTrafficLab is a MATLAB environment capable of simulating simple traffic scenarios with modular vehicle and junction controllers.

A deep learning and computer vision based warning indicator system for the vehicle drivers using live dash-cam footage.

In this project, we built ROS nodes to implement the core functionality of the autonomous vehicle system, including traffic light detection and classification, vehicle control control, and waypoint following.

🚥 An Artificial Neural Network based Traffic Light Controller for intersections. Computational Intelligence class final project.

A project for ticketing automated challan for overspeeding vehicles on a decentralized network, and generating dynamic traffic signal timings based on traffic.

A test simulation of all projects and models from time to time.

Traffic Light LED experiments with bash scripting for Raspberry Pi.

Capstone Project: Assist the blind in moving around safely by warning them of impending obstacles using depth sensing, computer vision, and tactile glove feedback.

A simple yet effective repo for object detection based on the FCOS architecture.

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.

Pedestrian Traffic Light Detector for visually impaired people

Python3 modul and cli to controll the Cleware traffic light

Smart Traffic Light System (Internet of Things Project)

Capstone project for Udacity's Self Driving Car Nanodegree