behavioral-cloning computer-vision deep-learning lane-finding machine-learning model-predictive-control neural-networks particle-filter path-planning pid-control ros self-driving-car semantic-segmentation support-vector-machine svm-classifier system-integration unscented-kalman-filter

Welcome

David Obando's repository for assignments and labs for Udacity's Self-Driving Car Nanodegree.

Term 1: Computer Vision and Deep Learning

Home
Project 1.1: Finding Lane Lines on the Road
Project 1.2: Build a Traffic Sign Recognition Program
Project 1.3: Use Deep Learning to Clone Driving Behavior
Project 1.4: Advanced Lane Finding Project
Project 1.5: Vehicle Detection Project

Term 2: Sensor Fusion, Localization, and Control

Home
Project 2.1: Extended Kalman Filters
Project 2.2: Unscented Kalman Filter
Project 2.3: Particle filter
Project 2.4: PID Controller
Project 2.5: MPC Controller

Term 3: Path Planning, Concentrations, and Systems

Home
Project 3.1: Path Planning
Project 3.2: Semantic Segmentation
Project 3.3: Final project: Programming a Real Self-Driving Car

Completed

As of March 27th 2018, I've graduated from Udacity's Self-Driving Car Nanodegree. You can see the certificate here: https://confirm.udacity.com/VZCGAH6A.

About

Contains my assignments and labs for Udacity's Self-Driving Car Engineer nanodegree

behavioral-cloning computer-vision deep-learning lane-finding machine-learning model-predictive-control neural-networks particle-filter path-planning pid-control ros self-driving-car semantic-segmentation support-vector-machine svm-classifier system-integration unscented-kalman-filter

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