real-lixin / object-tracking-using-ros-and-simulink-on-raspberry-pi

The example showcases deployment of a object tracking algorithm using ROS on the Raspberry Pi. The example intends to show the functionality of deploying ROS nodes on Pi and monitoring the values on a system on the same network.

Object Tracking using ROS and Simulink on Raspberry Pi

Copyright 2020 The MathWorks Inc.

Introduction

This repository contains resources for deploying a ROS node on Raspberry Pi hardware using Simulink showcasing an object tracking example.

Folder Structure

The repository has two examples which are located in two different folders:

1. PublishPi: Deploy a standalone ROS node with vision and control algorithms and validate it from another Simulink model for visualization.
2. PublishSubscribePi: Publish and Subscribe between a ROS node in Simulink and a standalone ROS node deployed onto Raspberry Pi.

The Raspberry Pi model has to be deployed on the hardware, whereas the Desktop model is to be run on the system.

Setup

1. Clone the repository.
2. Open MATLAB and navigate to PublishPi or PublishSubscribePi folder.
3. Open the Raspberry Pi model. Deploy the model on the hardware using Robot -> Build & Run. Installation of Raspberry Pi Support from Simulink would be necessary: https://www.mathworks.com/hardware-support/raspberry-pi-simulink.html
4. Open the Desktop model and run the model.

For any queries, contact the authors at [e-mail]