Udacity--Self-Driving-Car-Nano-Degree

This repository contains all the codes related to Udacity's Self Driving Car Nanodegree

This repository includes projects done as part of Self-Driving Car Engineer Nanodegree term 1 by Udacity.

Project 1 - Finding Lane Lines on the Road using computer vision

Project 2 - Advanced Lane Finding using computer vision

Project 3 - Traffic Sign Classifier using deep learning and TensorFlow

Project 4 - Behavioral Cloning using deep learning and Keras

Project 5 - Extended Kalman Filter

Project 6 - Kidnapped Vehicle Project

Project 7 - Path Planning Project

Project 8 - PID Control Project

Setup

There are two ways to get up and running:

Anaconda Environment

Get started here. More info here.

Supported Sytems: Linux (CPU), Mac (CPU), Windows (CPU)

Pros	Cons
More straight-forward to use	AWS or GPU support is not built in (have to do this yourself)
More community support	Implementation is local and OS specific
More heavily adopted

Docker

Get started here. More info here.

Supported Systems : AWS (CPU, GPU), Linux (CPU), Mac (CPU), Windows (CPU)

Pros	Cons
Configure once for all environments	More challenging to use
AWS, GPU support	Less community support
Practice with Docker	Have to manage images and containers

Dependencies

This project requires Python 3.5 and the following Python libraries installed:

• Jupyter
• NumPy
• SciPy
• scikit-learn
• TensorFlow
• Matplotlib
• Pandas (Optional)

Run this command at the terminal prompt to install OpenCV. Useful for image processing:

• conda install -c https://conda.anaconda.org/menpo opencv3