There are 5 repositories under self-driving-car-simulation topic.
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
The aim of this project is to allow a self driving car to steer autonomously in a virtual environment.
This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific track. The robot will stream the video to laptop which will then take decisions and send the data to raspberry pi which will then control the robot using motor driver. This motor driver will move the robot in required directions. Neural Network is used to train the model by first driving the robot on the specially designed track by labeling the images with the directions to be taken. After the model is trained it can make accurate predictions by processing the images on computer. This approach is better than conventional method which is done by extracting specific feature from images.
This repository is aimed towards using advanced computer vision techniques to accurately detect lane lines on unfavorable roads.
3D Autonomous Self-Driving Car Simulator with ROS
Training autonomous vehicles with Augmented Random Search algorithm in the Carla driving simulator. Flatiron Capstone Project.
:car: Nissan Leaf LGSVL simulator-based model for autonomous driving development.
A self-driving RC car project where I built everything from scratch, from the 1:10 RC scale model and the low-level hardware and electronics to the ML - even a custom simulator for rapid prototyping and model validation, made in Unity.
AWS Networking Organisation Internal DeepRacer Cup 2020
Self-Driving Cars with ROS and Autoware opensource stack by Autoware Foundation hosted by ApexAI.
A self-driving car powered by context-based steering written in the Godot game engine
A Deep Neural Network Plays Crew 2
🚗 This is an open source 2D self driving car simulator created using Plain JavaScript, HTML & CSS, without the use of any external libraries.
Final project of the Udacity Self-Driving Car Nanodegree
Use convolutional neural networks (CNNs) to clone driving behavior and train a self-driving car to autonomously navigate a track.
Minor 1 project based on self driving car simulation with two-step authentication
Our main goal of this project to help the e-commerce business platform/service based company who are dealing with product delivery. They can easily send their product to the customer by using a self-driving vehicle and the customers will be satisfied for faster delivery. As a result, their cost will be reduced and the business will grown-up exponentially.This could be useful to handicap and disable people too .
WebML Marathon Project - Creating a Self-Driving Car simulation in Javascript, HTML and CSS without any libraries.