Detail publikačního výsledku

Autonomous precision landing of unmanned aerial vehicles using fiducial optical markers

PRVÝ, J.; KLOUDA, J.

Originální název

Autonomous precision landing of unmanned aerial vehicles using fiducial optical markers

Anglický název

Autonomous precision landing of unmanned aerial vehicles using fiducial optical markers

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

landing, ArUco, Python, MAVLink, unmanned aircraft, autonomous

Klíčová slova v angličtině

landing, ArUco, Python, MAVLink, unmanned aircraft, autonomous

Autoři

PRVÝ, J.; KLOUDA, J.

Vydáno

29.04.2025

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno

ISBN

978-80-214-6321-9

Kniha

Proceedings I of the 31st Conference STUDENT EEICT 2025

Strany od

66

Strany do

68

Strany počet

3

URL

https://dspace.vut.cz/server/api/core/bitstreams/0ca2fab1-1923-4dde-8f0a-50a21ec11f9b/content

BibTex

@inproceedings{BUT201331,
  author="Jakub {Prvý} and Jan {Klouda}",
  title="Autonomous precision landing of unmanned aerial vehicles using fiducial optical markers",
  booktitle="Proceedings I of the 31st Conference STUDENT EEICT 2025",
  year="2025",
  pages="3",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="978-80-214-6321-9",
  url="https://dspace.vut.cz/server/api/core/bitstreams/0ca2fab1-1923-4dde-8f0a-50a21ec11f9b/content"
}