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An Autonomous Unmanned Aerial Vehicle System for Fast Exploration of Large Complex Indoor Environments

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00350896" target="_blank" >RIV/68407700:21230/21:00350896 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1002/rob.22021" target="_blank" >https://doi.org/10.1002/rob.22021</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/rob.22021" target="_blank" >10.1002/rob.22021</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Autonomous Unmanned Aerial Vehicle System for Fast Exploration of Large Complex Indoor Environments

  • Original language description

    This paper introduces an autonomous system employing multirotor unmanned aerial vehicles for fast 3D exploration and inspection of vast, unknown, dynamic, and complex environments containing large open spaces as well as narrow passages. The system exploits the advantage of small-size aerial vehicles capable of carrying all necessary sensors and computational power while providing full autonomy and mobility in constrained unknown environments. Particular emphasis is put on the robustness of the algorithms with respect to challenging real-world conditions and the real-time performance of all algorithms that enable fast reactions to changes in environment and thus also provide effective use of limited flight time. The system presented here was employed as a part of a heterogeneous ground and aerial system in the modeled Search & Rescue scenario in an unfinished nuclear power plant during the Urban Circuit of the Subterranean Challenge (SubT Challenge) organized by the Defense Advanced Research Projects Agency. The main goal of this simulated disastrous scenario is to autonomously explore and precisely localize specified objects in a completely unknown environment and to report their position before the end of the mission. The proposed system was part of the multirobot team that finished in third place overall and in first place among the self-funded teams. The proposed unmanned aerial vehicle system outperformed all aerial systems participating in the SubT Challenge with respect to versatility, and it was also the self-deployable autonomous aerial system that explored the largest part of the environment.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Field Robotics

  • ISSN

    1556-4959

  • e-ISSN

    1556-4967

  • Volume of the periodical

    38

  • Issue of the periodical within the volume

    8

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    23

  • Pages from-to

    1036-1058

  • UT code for WoS article

    000653654300001

  • EID of the result in the Scopus database

    2-s2.0-85106279833