Determining the Position Using Neural Network

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F18%3A00535611" target="_blank" >RIV/60162694:G43__/18:00535611 - 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
Determining the Position Using Neural Network
Original language description
This paper deals with passive measurement of an object (camera) position based on the position of optical beacon. The optical beacon consists of light sources that are arranged in a specific geometric pattern. Due to the change of the camera position against the beacon, there is also a change in the mutual position of the light sources in the image captured by the camera. A neural network that can determine mutual position of the camera and the beacon, can also evaluate the light sources mutual positions. A description of the artificial neural network design together with experimental measurement results are presented in this paper. In addition, positional errors for the neural networks with different neurons in a hidden layer are evaluated.
Czech name
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Czech description
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Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
22nd International Scientific on Conference Transport Means 2018
ISBN
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ISSN
1822-296X
e-ISSN
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Number of pages
4
Pages from-to
286-289
Publisher name
KAUNAS UNIVERSITY OF TECHNOLOGY
Place of publication
Kaunas
Event location
Trakai, Lithuania
Event date
Oct 3, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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