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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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