The Use of the Kalman Filter in the Imaging Seeker
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F12%3A00479285" target="_blank" >RIV/60162694:G43__/12:00479285 - isvavai.cz</a>
Výsledek na webu
<a href="http://vavtest.unob.cz/registr" target="_blank" >http://vavtest.unob.cz/registr</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The Use of the Kalman Filter in the Imaging Seeker
Popis výsledku v původním jazyce
The paper describes the use of the Kalman filter for the position prediction of the object in image data at of an imaging seeker of an air to air guided missile. The imaging seeker performs the object detection in the image data and consequently measuresthe object position. The object is then tracked, it means that the optical axis of the seeker permanently aims at the detected object. The measured position of the object is inaccurate because of the final value of the frame rate and the fact that the object can change its position during image data processing. This results in inaccurate tracking of the object. As a result, the prediction of the object position has to be made on the basis of the measured position of the object in the image and the optical axis has to be being turned into the predicted direction. This paper describes Kalman filter used to the object position prediction in the image of the imaging seeker. Problems of this prediction which are caused by the orientation of
Název v anglickém jazyce
The Use of the Kalman Filter in the Imaging Seeker
Popis výsledku anglicky
The paper describes the use of the Kalman filter for the position prediction of the object in image data at of an imaging seeker of an air to air guided missile. The imaging seeker performs the object detection in the image data and consequently measuresthe object position. The object is then tracked, it means that the optical axis of the seeker permanently aims at the detected object. The measured position of the object is inaccurate because of the final value of the frame rate and the fact that the object can change its position during image data processing. This results in inaccurate tracking of the object. As a result, the prediction of the object position has to be made on the basis of the measured position of the object in the image and the optical axis has to be being turned into the predicted direction. This paper describes Kalman filter used to the object position prediction in the image of the imaging seeker. Problems of this prediction which are caused by the orientation of
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
KA - Vojenství
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2012
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Proceedings of the 16th International Conference Transport Means 2012
ISSN
1822-296X
e-ISSN
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Svazek periodika
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Číslo periodika v rámci svazku
1
Stát vydavatele periodika
LT - Litevská republika
Počet stran výsledku
3
Strana od-do
214-216
Kód UT WoS článku
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EID výsledku v databázi Scopus
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