UAV Environment recognition for better horizon detection with usage of FUZZY IS

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F13%3A%230004813" target="_blank" >RIV/47813059:19240/13:#0004813 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

UAV Environment recognition for better horizon detection with usage of FUZZY IS

Popis výsledku v původním jazyce

In this paper the design of the environment detection method is presented. By environment we mean surroundings in which autonomous robot operates, especially 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 detect

Název v anglickém jazyce

UAV Environment recognition for better horizon detection with usage of FUZZY IS

Popis výsledku anglicky

In this paper the design of the environment detection method is presented. By environment we mean surroundings in which autonomous robot operates, especially 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 detect

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

16 th Czech - Japan Seminar on Data Analysis and Decision Making under Uncertainty

ISBN

978-80-245-1950-0

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

223-230

Název nakladatele

Faculty of management, University of Economics, Jindřichův Hradec

Místo vydání

Jindřichův Hradec

Místo konání akce

Mariánské Lázně

Datum konání akce

19. 9. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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