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Behaviorial Cloning

Udacity - Self-Driving Car NanoDegree

Track 1

Track 1

Track 2

Track 2

Teaching a car to drive

Project Overview

This project contains the results from completing Project 3 of the Udacity Self-Driving Car Engineer Nanodegree. The goal of this project is to teach a convolutional neural net to drive a car, using only video of humans driving as input. All driving was recorded with Udacity's driving simulator.

Files in the repository

  • The code for the model and training procedure - model.py
  • A trained model - model.h5
  • The code that makes the driver drive - drive.py
  • The videos recording autonomous laps around track 1 and track 2
  • A writeup detailing the results of the project

Running the code

This project was developed using Python 3.5. The project depends on the NumPY, OpenCV, Keras and TensorFlow libraries.