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Implementations of a core subset of features needed for a working self driving car.

Python 0.31% Jupyter Notebook 83.34% HTML 10.05% CMake 0.01% Shell 0.01% C++ 6.22% C 0.08%

udacity-self-driving-car's Introduction

Udacity - Self-Driving Car NanoDegree

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Projects

These are projects I developed as a part of Udacity Self Driving Car Nanodegree Program.

Relevant Projects

You can also view my robotic projects and computer vision projects.

These projects include but not limited to traffic sign classifier, end-to-end learning/behavioral-cloning, lane line detection, and vehicle detection & tracking.

Environment Setup

Make sure you have Anaconda installed. Then, run conda env create -f environment.yml to install all necessary pacakges needed for all my projects.

If you have issues installing packages, want to set up using Docker, or want to set up tensorflow with GPU enabled, follow the instructions provided by Udacity here.

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