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self-driving-car-nd

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.

Program Outline:

Term 1: Deep Learning and Computer Vision

  • Project 1: Finding Lane Lines (Intro to Computer Vision)
  • Project 2: Traffic Sign Classifier (Deep Learning)
    • deep-learning: Notes on Deep Learning, Tensorflow and Keras

Term 2: Sensor Fusion, Localisation and Control

  • 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.

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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