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Plume Tracking by a Self-stabilized Group of Micro Aerial Vehicles

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00226686" target="_blank" >RIV/68407700:21230/14:00226686 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Plume Tracking by a Self-stabilized Group of Micro Aerial Vehicles

  • Original language description

    A cooperative odor plume tracking approach designed for use with groups of micro-scale, autonomous helicopters in GNSS-denied environment is proposed in this paper. The designed method is based on a particle swarm optimization enhanced for efficient andfast cooperative searching for gas sources. The possibility of MAVs deployment in GNSS denied environment is enabled by employed visual relative localization using onboard monocular cameras and identification patterns. In addition to constraints given bythe relative localization (necessity of direct visibility and limited range of the system), MAV motion constraints and non-colliding multi-robot coordination are satisfied in the method. The developed method has been verified using a numerical model ofsmoke plume in various simulations and real experiments with a fleet of MAVs.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GPP103%2F12%2FP756" target="_blank" >GPP103/12/P756: Stabilization of ?-UAV swarms under decentralized relative localization.</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Modelling and Simulation for Autonomous Systems

  • ISBN

    978-3-319-13822-0

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    44-55

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Rome

  • Event date

    May 5, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article