# Aruco Detections Tutorial Explore the integration of ROS2, PX4, and OpenCV for advanced ArUco marker detection. In this tutorial, we demonstrate how to leverage ROS2's powerful communication framework and PX4's flight control capabilities to implement precise marker detection using OpenCV. Learn how to set up your environment, process camera feeds, and detect ArUco markers in real-time, enabling enhanced navigation and interaction for autonomous drones and robotic systems. Whether you're a beginner or an experienced developer, this tutorial will guide you through the essential steps to achieve robust marker detection and seamless integration with your ROS2 and PX4 projects. {% embed url="" %} Aruco Detections using PX4 & ROS2 {% endembed %} The repository can be found here:\ --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.arkelectron.com/tutorials/ros2-and-px4/aruco-detectios-tutorial.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.