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Preprints of the Keldysh Institute of Applied Mathematics, 2021, 027, 27 pp.
DOI: https://doi.org/10.20948/prepr-2021-27-e
(Mi ipmp2945)
 

This article is cited in 1 scientific paper (total in 1 paper)

Kalman filter application for the angular motion estimation by video processing

J. C. Molina Saqui, S. S. Tkachev
References:
Abstract: This work considers the problem of estimating the orientation and angular velocity of the object by image processing. To solve this problem, an approach based on the Extended Kalman filter (EKF), where the mesurements are the coordinates of the image points.
The results showed a significatly accuracy increase for the angular velocity estimation. As for the rotation quaternion, there was no significant improvement with respect to the local methods.
Keywords: angular motion determination, image processing, Extended Kalman filter.
Document Type: Preprint
Language: English
Citation: J. C. Molina Saqui, S. S. Tkachev, “Kalman filter application for the angular motion estimation by video processing”, Keldysh Institute preprints, 2021, 027, 27 pp.
Citation in format AMSBIB
\Bibitem{MolTka21}
\by J.~C.~Molina Saqui, S.~S.~Tkachev
\paper Kalman filter application for the angular motion estimation by video processing
\jour Keldysh Institute preprints
\yr 2021
\papernumber 027
\totalpages 27
\mathnet{http://mi.mathnet.ru/ipmp2945}
\crossref{https://doi.org/10.20948/prepr-2021-27-e}
Linking options:
  • https://www.mathnet.ru/eng/ipmp2945
  • https://www.mathnet.ru/eng/ipmp/y2021/p27
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Препринты Института прикладной математики им. М. В. Келдыша РАН
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    Abstract page:97
    Full-text PDF :49
    References:16
     
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