A self-driving car simulator built with Unity

This provides a sandbox simulator for training a self-driving car. This uses Unity for simulation and Python with Keras and Tensorflow for training. Recently updated to work on Python 3.4+ and Keras 2+

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

Implementing a self driving car using a 3D Driving Simulator. CNN will be used for training

To build a self driving car simulator for Chinese traffic, which based on intel open source simulator CARLA.

🚗 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch implementation of "End-to-End Learning for Self-Driving Cars" (arXiv:1604.07316) with Udacity's Simulator

Self-driving car simulator for the Duckietown universe

OSSDC SIM - Self Driving Car Simulator based of LGSVL

Self-Driving Car Simulator

This repo implemented the core technology of the self-driving car, including the basic concepts such as path tracking, path planning, SLAM, etc., and deep learning techniques such as computer vision and reinforcement learning. Finally, we practiced with NVIDIA JetBot in both the simulator and the real world.

Top down 2D self-driving car simulator built for running experiments in minutes, not weeks

Udacity's Self Driving Car Simulator (Challenge #2)

Run a self-driving car simulator from the comfort of your own PC

Self-driving car in a simulator controlled by a tiny neural network

Self-driving car in simulator with reinforcement learning.

The aim of this project is to allow a self driving car to steer autonomously in a virtual environment.

Behavioral Cloning Project for Self-Driving Car Nano Degree Term 1. The project includes designing a neural network and then training the car on the road in unity simulator. The CNN learns and clones the driving behavior.

🛣️ Easy-to-use road simulator for little self-driving cars

For this project, ROS nodes will be writing to implement core functionality of the autonomous vehicle system, including traffic light detection, control, and waypoint following! Then test the code using a simulator, and when it's ready, the project will be run on real self_driving car Karla .

Self driving car using udacity's open source simulator

Deep Learning platform for self Driving Cars. uses GTA V as simulator

A project to develope a self driving car with carla simulator and ROS2 carla bridge

This project implements a self-driving car system utilizing a Convolutional Neural Network (CNN) to predict steering angles based on input images from a front-facing camera. The system is designed to operate within the Udacity Self-Driving Car Simulator, enabling autonomous navigation in a simulated environment.

C++ model predictive controller powering a self-driving car in a simulator for the Udacity SDCND.

A Unity3d based Self Driving Car Simulator. Predicting steering angle for the Autonomous Vehicle in Unity3D simulated environment.

This is the ultimate step-by-step guide for the final Project work of Coursera's Introduction to Self-Driving Car's Course on Carla Driving Simulator for Trajectory Tracking and PID controlling.

The core technology behind Self Driving Cars today.

This is an implementation of various algorithms and techniques required to build a simple Self Driving Car. A modified versions of the Udacity Self Driving Car Simulator is used as a testing environment.

An implementation of a full motion and behavior planning pipeline for a self-driving car in the CARLA simulator.

In this project, I used a deep neural network (built with Keras) to clone car driving behavior. The dataset used to train the network is generated from Udacity's Self-Driving Car Simulator, and it consists of images taken from three different camera angles (Center - Left - Right), in addition to the steering angle, throttle, brake, and speed during each frame. The network is based on NVIDIA's paper End to End Learning for Self-Driving Cars, which has been proven to work in this problem domain.