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!

This README is broken down into the following sections:

• Setup - the environment and code setup required to get started and a brief overview of the project structure.
• 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.