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This repository contains code and writeups for projects and labs completed as a part of UDACITY's first of it's kind self driving car nanodegree program.

License: MIT License

Jupyter Notebook 18.36% Python 0.24% CMake 1.30% C++ 70.65% C 1.59% Shell 0.11% Cuda 0.69% Fortran 6.99% JavaScript 0.04% CSS 0.03% Dockerfile 0.01%
autonomous-vehicles sensor-fusion extended-kalman-filters unscented-kalman-filter computer-vision deep-learning keras convolutional-neural-networks pid-control udacity

self-driving-car-nanodegree-udacity's Introduction

Self Driving Car NanoDegree by Udacity

This repository contains code and writeups for projects and labs completed as a part of UDACITY's first of it's kind self driving car nanodegree program.

The program is 9 months long and has three terms in total with individual terms focussing on:

  1. Computer Vision and Deep Learning - Completed

  2. Sensor Fusion, Localization and Control - Completed

  3. Path Planning and System Integration - Completed

Each of terms has comprehensive projects to ensure percolation of presented concepts. The repository is organized according to individual terms and corresponding projects/labs are contained within the subdirectories.

The course completion certificate can be found here.

List of Projects

Term 1 - Computer Vision and Deep Learning Term 2 - Sensor Fusion, Localization and Control Term 3 - Path Planning and System Integration
Finding Lane Lines Extended Kalman Filter Path Planning
Traffic Sign Classifier Unscented Kalman Filter Semantic Segmentation
Behavioral Cloning Particle Filter System Integration
Advanced Lane Lines PID Controller ---
Vehicle Detection and Tracking Model Predictive Controller ---

Disclaimer: Current students please avoid plagiarizing the code as it results in violation of Udacity's honor code.

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