intro-self-driving-cars

In this repository you can find my results of all projects and relevant exercises of the Udacity Intro to Self-Driving Cars Nanodegree.

Chapters

The nanodegree was subdivided into the following chapters:

1. Orientation
2. Bayesian Thinking
3. Working with Matrices
4. C++ Basics
5. Performance Programming in C++
6. Navigating Data Structures
7. Vehicle Motion and Control
8. Computer Vision and Machine Learning

Projects

1. JoyRide - Reverse parking of a self-driving car

2. Implementation of a Matrix Class in Python

   • Source

3. Translation of a Python Histogram Filter to C++

4. Optimize histogram filter

5. A-Star routing algorithm in Python

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6. Computer Vision based Traffic Light Classifier ​