Environment character detection for precise horizon recognition in multiagent-based UAV system

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Environment character detection for precise horizon recognition in multiagent-based UAV system

Popis výsledku v původním jazyce

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 us

Název v anglickém jazyce

Environment character detection for precise horizon recognition in multiagent-based UAV system

Popis výsledku anglicky

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 us

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

International Conference on Military Technologies

ISBN

978-80-7231-917-6

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

1301-1307

Název nakladatele

University of Defence, Brno

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

1. 1. 2013

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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