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Fast Mutual Relative Localization of UAVs using Ultraviolet LED Markers

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00322009" target="_blank" >RIV/68407700:21230/18:00322009 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8453331/" target="_blank" >https://ieeexplore.ieee.org/document/8453331/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICUAS.2018.8453331" target="_blank" >10.1109/ICUAS.2018.8453331</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fast Mutual Relative Localization of UAVs using Ultraviolet LED Markers

  • Original language description

    This paper proposes a new methodology for outdoor mutual relative localization of UAVs equipped with active ultraviolet markers and a suitable camera with specialized bandpass filters. Mutual relative localization is a crucial tool for formation preservation, swarming and cooperative task completion in scenarios in which UAVs share working space in small relative distances. In most current systems of compact UAV swarms the localization of particular UAVs is based on the data obtained from motion capture systems for indoor experiments or on precise RTK-GNSS data outdoor. Such an external infrastructure is unavailable in most of real multi-UAV applications and often cannot be pre-installed. To account for such situations, as well as to make the system more autonomous, reliance on onboard sensors only is desirable. In the proposed approach, we rely on ultraviolet LED markers, that emit light in frequencies that are less common in nature than the visible light or infrared radiation, especially in high intensities. Additionally, common camera sensors are sensitive to ultraviolet light, making the addition of a filter the only necessary modification, keeping the platform low-cost, which is one of the key requirements on swarm systems. This also allows for a smaller size of the markers to be sufficient, without burdening the processing resources. Thus the proposed system aspires to be an enabling technology for deployment of large swarms of possibly micro-scale aerial vehicles in real-world conditions and without any dependency on an external infrastructure.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

    <a href="/en/project/GJ17-16900Y" target="_blank" >GJ17-16900Y: Stabilization and control of teams of relatively-localized micro aerial vehicles in high obstacle density areas</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2018 International Conference on Unmanned Aircraft Systems (ICUAS)

  • ISBN

    978-1-5386-1353-5

  • ISSN

    2575-7296

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    1217-1226

  • Publisher name

    IEEE

  • Place of publication

  • Event location

    Dallas, TX

  • Event date

    Jun 11, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000454860700150