Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

A collection of all projects pertaining to different layers in the SDC software stack

Self Driving Cars Longitudinal and Lateral Control Design

FOR PRE-AP/AP1/AP2 TESLA CARS ONLY: open source driving agent. You can help development by donating @ https://github.com/sponsors/BogGyver

This is my Self-Driving Car projects with Udacity ND.

This repository contains ROS2 Humble packages implementing hybrid path planning algorithms, including reeds_shepp_hybrid_astar and dubins_hybrid_star

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self-driving car in Forza horizon using vision with OpenCV and TensorFlow for deep learning and neural networks. Broad goal: for the system to control the car to drive safely avoid other cars and stay in the lane.

Goal of project was to detect vehicles and pedestrians using Lidar points in real time.

Udacity Intro to Self-Driving Car Nanodegree Project : Joy Ride (Simple Self-Driving Car Simulation)

3D Autonomous Self-Driving Car Simulator with ROS

University of Toronto - Coursera

Python Opencv Self Driving Car running on Raspberry Pi

2d car learns to drive through genetic algorithims

Car trained using genetic algorithm in Unity Engine

Code for all assignments of the Self Driving Cars Specialization on Coursera

Projects of Udacity Self Driving Car

Udacity Selfdriving cars course

This is my first Self Driving Car project. In this project, I use end-to-end neural nets and Convolutional Neural Networks (CNNs) to drive a virtual car around AirSim.

Vehicle Detection for SelfDrivingCar using Mask R-CNN and Computer-Vision based Lane Detection and image segmentation

Sigma-Point filtering for Moving Object Tracking using Lidar and Radar processed neasurements

MachineLearning + Arduino + RaspberryPi + RemoteControlCar + pygame = SelfDrivingCar

This repository contains my results of Udacity's Self-Driving Car Nanodegree in which I am currently enrolled until December 2018

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Finding lane lines on the road from the images and videos.

Self driving car simulator written in C#, Unity, using genetic algorithm and neural networks

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A Path Planner that creates smooth, safe trajectories for a self-driving car to follow, enabling the car to safely navigate around a virtual highway with other traffic.

This is a continuation of MIT Self Driving car project.In this Stage of the project we work on a new platform usign the Nvidia Jetson TX1.