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Autonomous landing on a moving vehicle with an unmanned aerial vehicle

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00326172" target="_blank" >RIV/68407700:21230/19:00326172 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1002/rob.21858" target="_blank" >https://doi.org/10.1002/rob.21858</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/rob.21858" target="_blank" >10.1002/rob.21858</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Autonomous landing on a moving vehicle with an unmanned aerial vehicle

  • Original language description

    This paper addresses the perception, control, and trajectory planning for an aerial platform to identify and land on a moving car at 15 km/hr. The hexacopter unmanned aerial vehicle (UAV), equipped with onboard sensors and a computer, detects the car using a monocular camera and predicts the car future movement using a nonlinear motion model. While following the car, the UAV lands on its roof, and it attaches itself using magnetic legs. The proposed system is fully autonomous from takeoff to landing. Numerous field tests were conducted throughout the year-long development and preparations for the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2017 competition, for which the system was designed. We propose a novel control system in which a model predictive controller is used in real time to generate a reference trajectory for the UAV, which are then tracked by the nonlinear feedback controller. This combination allows to track predictions of the car motion with minimal position error. The evaluation presents three successful autonomous landings during the MBZIRC 2017, where our system achieved the fastest landing among all competing teams.

  • 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

    <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

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

Others

  • Publication year

    2019

  • 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

    36

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    18

  • Pages from-to

    874-891

  • UT code for WoS article

    000475466200002

  • EID of the result in the Scopus database

    2-s2.0-85059557991