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

This repository contains project files and lecture notes for Udacity's Self-Driving Car Engineer Nanodegree program which I started working on on 27 October, 2016.

The Self-Driving Car Engineer is an online certification intended to prepare students to become self-driving car engineers. The program was developed by Udacity in partnership with Mercedes-Benz, NVIDIA, Otto, DiDi, BMW, McLaren and NextEv.

See also: My notes for Udacity's Machine Learning Nanodegree.

• Project 1: Finding Lane Lines (Intro to Computer Vision)

• 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.

• Project 4: Advanced Lane Lines (Computer Vision)

• Project 5: Vehicle Detection (Computer Vision)

• deep-learning-notes-and-labs: Notes on Deep Learning, Tensorflow and Keras

• computer-vision-notes-and-labs: Notes on Computer Vision

• Sensor Fusion: Integrating different types of sensors.
• Localisation: 'Where relative to the world is a car?' Alignment of car, sensors to the map.
• Control: Computer program that steers cars, wheels so as to meet an objective.

• Path Planning: Finding a sequence of steps in a maze (navigating cities, parking lots)
• Put your code in a self-driving car