Comparison of Analytical Method and Artificial Neural Network Method for Calculation of Optical Positioning

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F19%3A00536897" target="_blank" >RIV/60162694:G43__/19:00536897 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8870123" target="_blank" >https://ieeexplore.ieee.org/document/8870123</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MILTECHS.2019.8870123" target="_blank" >10.1109/MILTECHS.2019.8870123</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of Analytical Method and Artificial Neural Network Method for Calculation of Optical Positioning

Popis výsledku v původním jazyce

This paper compares two methods of passive determination of an object (camera) position, using the optical beacon. The LED light sources as a part of the optical beacon are placed at certain positions to create a specific geometric pattern. With the changes in mutual camera and beacon position, there are also changes in the pattern, which is determined in the camera-captured picture. Due to a 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. The first method is based on analytical expression of the beacon range and azimuthal angle in dependence on mutual positions of the light sources in the picture. The second method uses an artificial neural network instead of analytical expression. A description of both methods together with comparison of experimental results are presented in this paper.

Název v anglickém jazyce

Comparison of Analytical Method and Artificial Neural Network Method for Calculation of Optical Positioning

Popis výsledku anglicky

This paper compares two methods of passive determination of an object (camera) position, using the optical beacon. The LED light sources as a part of the optical beacon are placed at certain positions to create a specific geometric pattern. With the changes in mutual camera and beacon position, there are also changes in the pattern, which is determined in the camera-captured picture. Due to a 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. The first method is based on analytical expression of the beacon range and azimuthal angle in dependence on mutual positions of the light sources in the picture. The second method uses an artificial neural network instead of analytical expression. A description of both methods together with comparison of experimental results are presented in this paper.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

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 2019, (ICMT´19)

ISBN

978-172814593-8

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

8870123

Název nakladatele

Univerzita obrany v Brně

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

30. 5. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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