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Mutual Localization of UAVs based on Blinking Ultraviolet Markers and 3D Time-Position Hough Transform

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00322426" target="_blank" >RIV/68407700:21230/18:00322426 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21230/18:00323128

  • Result on the web

    <a href="https://doi.org/10.1109/COASE.2018.8560384" target="_blank" >https://doi.org/10.1109/COASE.2018.8560384</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/COASE.2018.8560384" target="_blank" >10.1109/COASE.2018.8560384</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Mutual Localization of UAVs based on Blinking Ultraviolet Markers and 3D Time-Position Hough Transform

  • Original language description

    A novel vision-based approach for indoor/outdoor mutual localization on Unmanned Aerial Vehicles (UAVs) with low computational requirements and without external infrastructure is proposed in this paper. The proposed solution exploits the low natural emissions in the near-Ultra-Violet (UV) spectrum to avoid major drawbacks of the visible spectrum. Such approach provides much better reliability while being less computationally intensive. Working in near-UV requires active markers, which can be leveraged by enriching the information content through blinking patterns encoded marker-ID. In order to track the markers motion and identify their blinking frequency, we propose an innovative use of three dimensional Hough Transform, applied to stored position-time points. The proposed method was intensively tested onboard multi-UAV systems in real-world scenarios that are very challenging for visible-spectrum methods.The results of our methods in terms of robustness, reliability and precision, as well as the low requirement on the system deployment, predestine this method to be an enabling technology for using swarms of UAVs.

  • 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

    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 IEEE 14th International Conference on Automation Science and Engineering (CASE)

  • ISBN

    978-1-5386-3593-3

  • ISSN

  • e-ISSN

    2161-8070

  • Number of pages

    6

  • Pages from-to

    298-303

  • Publisher name

    IEEE

  • Place of publication

    New York

  • Event location

    Munich

  • Event date

    Aug 20, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000460536600047