AKFSF-Simulation-CPP

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AKFSF-Simulation-CPP

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Advanced Kalman Filtering and Sensor Fusion Simulation CPP

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# Advanced Kalman Filtering and Sensor Fusion Simulation #

Welcome to the Advanced Kalman Filtering and Sensor Fusion Simulation exercise project. In this project, you will be developing the source code for a number of different types of Kalman Filters which are used to estimate the navigation state of a 2D vehicle problem; such as that would be found on a self-driving car!

![AKFSF-Simulation](https://raw.githubusercontent.com/StevenDumble/AKFSF-Simulation-CPP/main/AKFSF-Simulation.gif)

This README is broken down into the following sections:

- [Setup](#setup) - the environment and code setup required to get started and a brief overview of the project structure.
 - [The Tasks](#the-tasks) - the tasks you will need to complete for the project

## Setup ##

This project will use the Ubuntu 64 20.04.2.0 LTS VM C++ development environment that is setup for this course. (Refer to the Setting up the Development Environment Lesson) Please follow the steps below to compile the simulation.

0. Install the dependencies
 ```
 sudo apt install libeigen3-dev libsdl2-dev libsdl2-ttf-dev
 ```
 
 1. Clone the repository
 ```
 git clone https://github.com/technitute/AKFSF-Simulation-CPP.git
 ```
 2. Setup the cmake build
 ```
 cd AKFSF-Simulation-CPP
 mkdir build
 cd build
 cmake ../
 ```

3. Compile the code
 ```
 make
 ```
 
 3. You should now be able to and run the estimation simulator
 ```
 ./AKFSF-Simulation
 ```

### Project Structure ###

## The Tasks ##

## Authors ##

This project was developed for the Technitute Course - Advanced Kalman Filtering and Sensor Fusion. Developed and produced by Dr. Steven Dumble.

AKFSF-Simulation-CPP

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