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

Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
UAV Environment recognition for better horizon detection with usage of FUZZY IS
Original language description
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
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
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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Number of pages
8
Pages from-to
223-230
Publisher name
Faculty of management, University of Economics, Jindřichův Hradec
Place of publication
Jindřichův Hradec
Event location
Mariánské Lázně
Event date
Sep 19, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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