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Description
  • This article presents a method for long-term autonomous micro-aerial vehicle (MAV) localization and position stabilization. The proposed method extends MAV proprietary stabilization based on inertial sensor or optical flow processing, without use of an external positioning system. The method extracts visual features from the images captured by a down-looking camera mounted under the MAV and matching these to previously observed features. Due to its precision and reliability, the method is well suited for stabilization of MAVs acting in closely cooperating compact teams with small mutual distances between team members. Performance of the proposed method is demonstrated by experiments on a quad-copter equipped with all necessary sensors and computers for the autonomous operation.
  • This article presents a method for long-term autonomous micro-aerial vehicle (MAV) localization and position stabilization. The proposed method extends MAV proprietary stabilization based on inertial sensor or optical flow processing, without use of an external positioning system. The method extracts visual features from the images captured by a down-looking camera mounted under the MAV and matching these to previously observed features. Due to its precision and reliability, the method is well suited for stabilization of MAVs acting in closely cooperating compact teams with small mutual distances between team members. Performance of the proposed method is demonstrated by experiments on a quad-copter equipped with all necessary sensors and computers for the autonomous operation. (en)
Title
  • Localization and stabilization of micro aerial vehicles based on visual features tracking
  • Localization and stabilization of micro aerial vehicles based on visual features tracking (en)
skos:prefLabel
  • Localization and stabilization of micro aerial vehicles based on visual features tracking
  • Localization and stabilization of micro aerial vehicles based on visual features tracking (en)
skos:notation
  • RIV/68407700:21230/14:00224905!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LH11053)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 26475
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/14:00224905
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Micro Unmanned Vehicles; Mobile Robots; Helicopter Control; Localization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [12AD057EAE7E]
http://linked.open...v/mistoKonaniAkce
  • Orlando
http://linked.open...i/riv/mistoVydani
  • Danvers
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 2014 2014 International Conference on Unmanned Aircraft Systems (ICUAS)
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http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Chudoba, Jan
  • Přeučil, Libor
  • Saska, Martin
  • Báča, Tomáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/ICUAS.2014.6842304
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer society
https://schema.org/isbn
  • 978-1-4799-2376-2
http://localhost/t...ganizacniJednotka
  • 21230
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