Udacity - Intro to Self-Driving Cars

This repository contains the source code of my implementations for all the projects in the Udacity's Intro to Self-Driving Cars Nanodegree program

Projects

There are a total of 4 main projects and a couple of optional once you will find the main projects numbered while the optionals are not.

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Main Projects

• Project 1 - Matrix Class:

  A python matrix class that can perform basic matrices operations such as : multiplycation, addition, inverse,transpose,..etc.

• Project 2 - Histogram Filter in C++:

  Implementing a 2D histogram filter that can perform the prediction and measurement steps in C++.

• Project 3 - Route Planner:

  A Route Planner implementation based on A* algorithm to find the shortest path between two points.

• Project 4 - Traffic Light Classifier:

  Builing a complete simple traffic light classification pipeline (Pre-processing , Feature Extraction , Classification and Evaluation) that can obtain an accuracy up to 99%.

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Optional Projects

• Histogram Code Optimization:

  Optimize the Histogram code to be more efficient and much faster to execute.

• Reconstructing Trajectories from Sensor Data:

  Track a motion of a vehicle / robot through acceleration , yaw rate and displacement data.