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Self Driving Car Engineer Nanodegree

License: MIT License

Jupyter Notebook 38.72% HTML 1.05% Python 0.12% CMake 1.04% Shell 0.10% C++ 50.86% C 1.20% Cuda 0.62% Fortran 6.20% JavaScript 0.04% CSS 0.03% Makefile 0.03%

carnd's Introduction

Self-Driving Car Engineer Nanodegree

I'm currently taking this course, I'm from the Feb 2017 cohort,

Recommended order for exploring these projects is as follows:

Term 1

Finding Lane Lines on the Road - P1
Build a Traffic Sign Recognition Classifier - P2
Behavioral Clonning (end to end deep learning self-driving) - P3
Advanced Lane Line Finding - P4
Vehicle Detection and Tracking - P5

Term 2

Extended Kalman Filters - P6
Unscented Kalman Filters - P7
Kidnapped Vehicle Project - P8
PID Controller - P9
Model Predictive Control - P10

Term 3

Model Predictive Control - P11
Semantic Segmentation - P12
Captsone Project - P13

About this Course

Self-driving cars represent one of the most significant advances in modern history. Their impact will go beyond technology, beyond transportation, beyond urban planning to change our daily lives in ways we have yet to imagine.

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