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Study of the Effectiveness of Different Kalman Filtering Methods and Smoothers in Object Tracking Based on Simulation Tests Cover

Study of the Effectiveness of Different Kalman Filtering Methods and Smoothers in Object Tracking Based on Simulation Tests

Reports on Geodesy and Geoinformatics
Volume 97 (2014): Issue 1 (December 2014)
By:  and    
Open Access
|Feb 2015
Authors

Authors

Marcin Malinowski

marcinm@utp.edu.pl

Janusz Kwiecień

jkw@utp.edu.pl

DOI: https://doi.org/10.2478/rgg-2014-0008 | Journal eISSN: 2391-8152 | Journal ISSN: 0867-3179
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Language: English
Page range: 1 - 22
Published on: Feb 3, 2015
Published by: Warsaw University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Kalman filtering,
smoother,
Extended Kalman Filter,
derivativefree filtering,
Central Difference Kalman Filter,
Unscented Kalman Filter,
object tracing
Related subjects:
Computer sciences,
Computer sciences, other,
Geosciences,
Geodesy,
Cartography and photogrammetry,
Geosciences, other

© 2015 Marcin Malinowski, Janusz Kwiecień, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 97 (2014): Issue 1 (December 2014)
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