A project work by Samuel Sanchez, Master student at Hochschule Esslingen
Welcome to this practical and compact guide about ROS 2 and how to implement and integrate an RPLiDAR and a Stereo Camera on a NVIDIA Jetson Nano.
This project is offered to ASM students at Esslingen University. The work continues predecessor projects and has interfaces to other project teams.
The theoretical foundation underlying this project is part of a broader research project named Automated Driving in Miniaturized Traffic scenarios 1:14 (ADMIT14), which are intended to validate autonomous driving technology in a controlled, small-scale environment.
Click on the sections below to navigate through each topic.
- 1️⃣ Project Introduction
- 2️⃣ ROS 2 Introduction
- 3️⃣ ROS 2 Installation
- 4️⃣ ROS 2 Setup
- 5️⃣ Stereo Camera Implementation
- 6️⃣ LiDAR Implementation
Choose your platform below to jump directly into the detailed instructions that apply to your lab hardware or host machine.
| Platform | Install ROS 2 | Configure Workspace | Sensor Guides |
|---|---|---|---|
| Jetson Nano (Ubuntu 20.04) | Imaging & ROS 2 Foxy | Ubuntu Workspace Setup | Stereo Camera · LiDAR |
| Windows 10/11 PC | ROS 2 Humble Binaries | Windows Workspace | — |
| macOS (Apple Silicon/Intel) | ROS 2 Humble Source Build | macOS Workspace | — |
Use the matrix as a fast navigation aid before diving into the in-depth sections that follow.
