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self-driving-car-nd

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Udacity's Self-Driving Car Nanodegree project files and notes.

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# Udacity - Self-Driving Car NanoDegree

[![Udacity - Self-Driving Car NanoDegree](https://s3.amazonaws.com/udacity-sdc/github/shield-carnd.svg)](http://www.udacity.com/drive)

Udacity's Self-Driving Car Nanodegree project files and notes.

This repository is a compilation of project files and lecture notes for [Udacity's Self-Driving Car Engineer Nanodegree program](https://www.udacity.com/drive) which I started working on January 19, 2017.

## Program Outline:
### Term 1: Deep Learning and Computer Vision

#### 1. Deep Learning
- `deep-learning-notes-and-labs`: Notes on Deep Learning, Tensorflow and Keras
- Project 2: Traffic Sign Classifier (Deep Learning)
- Project 3: Behavioural Cloning (Deep Learning)
    - Train a car to drive in a 3D simulator using a deep neural network. 
    - Input data comprises steering angles and camera images captured by driving with a keyboard / mouse / joystick in the simulator.

#### 2. Computer Vision
- `computer-vision-notes-and-labs`: Notes on Computer Vision
- Project 1: Finding Lane Lines (Intro to Computer Vision)
- Project 4: Advanced Lane Lines (Computer Vision)
- Project 5: Vehicle Detection (Computer Vision)

### Term 2: Sensor Fusion, Localisation and Control

#### 1. Sensor Fusion
- Combining lidar and radar data to track objects in the environment using Kalman filters.
#### 2. Localisation
- Locate a car relative to the world (Align a car and sensors to the map).
- Use particle filters to localise the vehicle.
#### 3. Control
- Fundamental concepts of robotic control.
- Build algorithms to steer car and wheels so as to meet an objective.

### Term 3: Path Planning, Controlling a Self-Driving Car
- Path Planning: Finding a sequence of steps in a maze (navigating cities, parking lots)
- Put your code in a self-driving car

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