Towards Scalable and Fast UAV Deployment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00386883" target="_blank" >RIV/68407700:21230/25:00386883 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.5220/0013713500003982" target="_blank" >https://doi.org/10.5220/0013713500003982</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0013713500003982" target="_blank" >10.5220/0013713500003982</a>
Alternative languages
Result language
angličtina
Original language name
Towards Scalable and Fast UAV Deployment
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics
ISBN
978-989-758-770-2
ISSN
2184-2809
e-ISSN
2184-2809
Number of pages
8
Pages from-to
243-250
Publisher name
SCITEPRESS – Science and Technology Publications, Lda
Place of publication
Lisboa
Event location
Marbella
Event date
Oct 20, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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