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  • This document describes the design of the detection environment method in which autonomous robot operates, in this case the UAV. This method is suitable for the application in UAV systems for the horizon detection, but also in the other artificial intelligence´s applications, which require recognition of the environment´s character in which autonomous entity operates. Part of the document includes also an overview of methods used for the horizon detection and problems which may arise during the detection. Environment detection algorithm is based on the principles of fuzzy sets and Sugeno - type fuzzy inference systems. The detected straight line segments are the basic input algorithm, segment detection method is subject of the further development. Environment detection method is computationally undiscerning and therefore suitable for implementation on programmable microcontrollers, which are often used to control the UAV devices. Environment detection and horizon recognition will be used to deal with position sensors´ failures and replace their functionality in image recognition with previously proposed algorithms in UAV control method using the principles of multi-agent systems.
  • This document describes the design of the detection environment method in which autonomous robot operates, in this case the UAV. This method is suitable for the application in UAV systems for the horizon detection, but also in the other artificial intelligence´s applications, which require recognition of the environment´s character in which autonomous entity operates. Part of the document includes also an overview of methods used for the horizon detection and problems which may arise during the detection. Environment detection algorithm is based on the principles of fuzzy sets and Sugeno - type fuzzy inference systems. The detected straight line segments are the basic input algorithm, segment detection method is subject of the further development. Environment detection method is computationally undiscerning and therefore suitable for implementation on programmable microcontrollers, which are often used to control the UAV devices. Environment detection and horizon recognition will be used to deal with position sensors´ failures and replace their functionality in image recognition with previously proposed algorithms in UAV control method using the principles of multi-agent systems. (en)
Title
  • Environment character detection for precise horizon recognition in multiagent-based UAV system
  • Environment character detection for precise horizon recognition in multiagent-based UAV system (en)
skos:prefLabel
  • Environment character detection for precise horizon recognition in multiagent-based UAV system
  • Environment character detection for precise horizon recognition in multiagent-based UAV system (en)
skos:notation
  • RIV/47813059:19240/13:#0004815!RIV14-MSM-19240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
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
  • 73011
http://linked.open...ai/riv/idVysledku
  • RIV/47813059:19240/13:#0004815
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • UAV, Multiagent, Fuzzy, Sugeno, Environment (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [5BB8B0D9E173]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • International Conference on Military Technologies
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Novák, David
  • Čermák, Petr
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Univerzita obrany
https://schema.org/isbn
  • 978-80-7231-917-6
http://localhost/t...ganizacniJednotka
  • 19240
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