Towards Scalable and Fast UAV Deployment

Tim Felix Lakemann, Martin Saska

2025

Abstract

This work presents a scalable and fast method for deploying Uncrewed Aerial Vehicle (UAV) swarms. Decentralized large-scale aerial swarms rely on onboard sensing to achieve reliable relative localization in real-world conditions. In heterogeneous research and industrial platforms, the adaptability of the individual UAVs enables rapid deployment in diverse mission scenarios. However, frequent platform reconfiguration often requires time-consuming sensor calibration and validation, which introduces significant delays and operational overhead. To overcome this, we propose a method that enables rapid deployment and calibration of vision-based UAV swarms in real-world environments.

Paper Citation

in Harvard Style

Lakemann T. and Saska M. (2025). Towards Scalable and Fast UAV Deployment. In Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-770-2, SciTePress, pages 243-250. DOI: 10.5220/0013713500003982

in Bibtex Style

@conference{icinco25,
author={Tim Lakemann and Martin Saska},
title={Towards Scalable and Fast UAV Deployment},
booktitle={Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2025},
pages={243-250},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013713500003982},
isbn={978-989-758-770-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Towards Scalable and Fast UAV Deployment
SN - 978-989-758-770-2
AU - Lakemann T.
AU - Saska M.
PY - 2025
SP - 243
EP - 250
DO - 10.5220/0013713500003982
PB - SciTePress