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Camera-Based Localization and Stabilization of a Flying Drone

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10319128" target="_blank" >RIV/00216208:11320/15:10319128 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS15/paper/view/10398/10299" target="_blank" >http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS15/paper/view/10398/10299</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Camera-Based Localization and Stabilization of a Flying Drone

  • Original language description

    This paper describes implementation of the system controlling a flying drone to stabilize and hold the drone still regardless of external influences and inaccuracy of sensors. This task is achieved by utilizing visual monocular SLAM (Simultaneous Localization and Mapping) - tracking recognizable points in the camera image while maintaining a 3D map of those points. The output location is afterwards combined using the Kalman filter with odometry data to predict future location using drone's dynamics model. The resulting location is used afterwards for reactive control of drone's flight.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA15-19877S" target="_blank" >GA15-19877S: Automated Knowledge and Plan Modeling for Autonomous Robots</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • 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 Twenty-Eighth International Florida Artificial Intelligence Research Society Conference

  • ISBN

    978-1-57735-730-8

  • ISSN

    2334-0754

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    372-377

  • Publisher name

    AAAI Press

  • Place of publication

    USA

  • Event location

    Hollywood, Florida, USA

  • Event date

    May 18, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article