Original title: Autonomous precision landing of unmanned aerial vehicles using fiducial optical markers
Authors: Prvý, Jakub
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: This paper deals with the design and implementation of a system for autonomous landing of an unmanned aircraft using image recognition technology. The main objective is to use ArUco markers as visual reference points that allow accurate localization and navigation during the landing process. A key part of the work is the integration of the OpenCV library for marker detection and image analysis with the ArduPilot platform, which provides flight control.
Keywords: ArUco; autonomous; landing; MAVLink; Python; unmanned aircraft
Host item entry: Proceedings I of the 31st Conference STUDENT EEICT 2025: General papers, ISBN 978-80-214-6321-9

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: https://hdl.handle.net/11012/255243

Permalink: http://www.nusl.cz/ntk/nusl-687837


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