Autopilot-Steering-Wheel-Simulation

A tensorflow implementation of Nvidia paper End to End learning for self driving cars(https://arxiv.org/pdf/1604.07316.pdf)

End to End Learning for Self Driving Cars

Indoor Self Driving(Behavioral Cloning) with Real World Rover

Deep Learning with Keras - Run the simulator to drive the car itself

Machine learning for a driver less vehicle

Teach a car to drive in a simulator using the NVIDIA End to End Learning for Self-Driving Cars model.

SDC Nanodegree - Behavioral Clonning

A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes

Deep Learning to Clone Driving Behavior

carndp4writep

Udacity Behavioral Cloning Project 3

Autopilot-Steering-Wheel-Simulation

This is an implementation of End to End Learning for Self-Driving Cars model developed by NVIDIA.

A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.

Ai Automated vehicule

A Keras implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes

Building a self driving car simulation using NVIDIA end-to-end learning

A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes

Third Project of the Udacity Self-Driving Car Nanodegree Program

Udacity self-driving car nanodegree project 3 : Behavioral cloning

Autopilot written in Keras for Self Driving Cars

In this project, we use deep learning to imitate human driving in a simulator. In particular, we utilize Keras libraries to build a convolutional neural network that predicts steering angle response in the simulator.

Behavioral-Cloning-Using-Nvidia-Model

All the files needed for the Terrapin Hackers Hacktorial on Behavioral Cloning for Self Driving Cars.

An implementation of end-to-end learning for self-driving cars of Nvidia paper (Bojarski et al.2016) using keras

End-to-End learning for self driving car

Udacity CarND Behaviour Cloning Project 3

Final Year Project on Self Driving Car using Udacity's Self Driving Car Simulator

A very basic self-driving car model to train road recognition and steering.

Behavioral Cloning Project for Udacity's Self-Driving Car ND

ENGN8536 Final Project "END TO END LEARNING FOR SELF DRIVING PLANE IN GTA V

End-to-End learning to train a simulated car keep on the track without crash

Keras implementation of End to End Learning for Self-Driving Cars by Nvidia.

This implementation helps in predicting steering angles for a self driving car.

Using a convolution neural network in Keras that predicts steering angles from images for autonomous driving

Using CNNs to predict steering angles

Evaluating Tensorflow 2.0

end to end learning for self-driving

Implementation of behavioral cloning

Applying CNN on a dataset which contains around 45K images and steering wheel angle for all these images .

Udacity nanodegree Project 3 - Behavior cloning

end-to-end self-driving car

end to end learning for self driving cars based on CNN

End-to-end deep learning based autonomous RC car using Raspberry Pi 3.

Autonomous driving using behavioral cloning.

Build a self driving car using deep reinforcement learning.

self-driving car nanodegree project 3 behavioral cloning

A End to End CNN Model which predicts the steering wheel angle based on the video/image

Keras Implementation of End to End Learning for Self-Driving Cars by (Baris Kayalibay, Grady Jensen, Patrick van der Smagt)

New repository.

Implementation of an end to end deep neural network in keras which predicts steering angles based on raw image data to navigate a car

Udacity Self-Driving Car Engineer Class Project, due on Jan 30th, 2017

Behavioral Cloning Project

Drive a car using deep learning

In this project a end-to-end-solution for autonomous lane keeping is developed using imitation learning. The goal is to develop a robust lane keeping system for a model scale car (scale 1:8) for indoor szenarios (e.g. driving szenarios of the Carolo Cup).

Udacity Self-Driving Car Engineer Nanodegree Project Behavioral Cloning

This project is my implementation of NVIDIA's PilotNet End to End deep CNN (built with Keras) to clone the behavior of a self driving car .

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

Steering wheel Rotation movement using Computer vision

Python Keras Based Behavior Cloning(Car Control) System

A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.

Train a deep neural network to drive a car like you

Human-level control through deep reinforcement learning

End to end learning for self-driving car.

Behavioral Cloning for Self Driving Cars powered by convolutional neural networks

Steering, acceleration and brake self-driving car model inspired from Sully Chen & Udacity Dataset

Given a sequence of road images, Predict the angle of the steering wheel

An implementation of "End-to-end learning for self-driving cars" paper by NVIDIA team

🚗 Self-driving Vehicles Simulation using Machine Learning | PyTorch implementation of "End to End Learning for Self-Driving Cars" (arXiv:1604.07316)

Deep Learning-based Autonomous Driving Toolkit

This Project includes Udacity simulator and code for self drive.

Machine Learning for RC Cars

Udacity Term 1 - Project 3 drives a car around a simulated track. This program uses a Convolutional Neural Network which was taught how to drive. This was accomplished by collecting data (image and steering angle). This data was used to train the neural network, and to drive a vehicle in a simulator.

Python machine learning library for Super Mario Kart

Deep Learning Project to Teach a Car to Drive Autonomously Using Only Camera Images.

In a new automotive application, we have used convolutional neural networks (CNNs) to map the raw pixels from a front-facing camera to the steering commands for a self-driving car. This powerful end-to-end approach means that with minimum training data from humans, the system learns to steer, with or without lane markings, on both local roads and highways. The system can also operate in areas with unclear visual guidance such as parking lots or unpaved roads. In this Project i am going to implement Nvidia End-to-End Deep Learning for Self-Driving Cars" Network Architecture(https://arxiv.org/pdf/1604.07316.pdf) and around 45,000 Data-set(https://github.com/SullyChen/driving-datasets)

Used data science and Implemented a computer vision paper: https://arxiv.org/pdf/1604.07316.pdf to simulate self driving cars on the Udacity open source simulator.

Behavioural Cloning project for Udacity Self Driving Car NanoDegree

end 2 end

Keras/Tensorflow Implementation of End-to-End Learning for self-driving car (Nvidia). Spatial factorization is additionally implemented to reduce network size.

End-to-End Deep Learning and Behavior cloning for Self-Driving Cars

Repo for Predicting Steering Wheel

A self driving car model for humans.

Behavioral Cloning Project for Udacity's Self-Driving Car ND

Implement Nvidia's paper on self driving cars using tensorflow.

Keras implementation for Nvidia's paper (https://arxiv.org/abs/1604.07316)

The objective of this project is to implement an end to end learning system which learns from manually driven scenarios how to drive safely around a circuit in a simulator. The CNN inputs are raw images and the output is the predicted steering angle.

Deep learning to train an autonomous vehicle to mimic human driving

Behavorial Cloning for Car Simulation using a Neural Network in Keras

Behavior Cloning - Self Driving Car Project

An autopilot for the Udacity SDCND simulator based on deep neural networks

Self driving car for GTA5 using a CNN

A simplified self driving car case study

Behavioral cloning: end-to-end learning for self-driving cars.