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

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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: Marcin Malinowski and Janusz Kwiecień

Open Access

|Feb 2015

Authors

Marcin Malinowski

marcinm@utp.edu.pl

Janusz Kwiecień

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,

Extended Kalman Filter,

derivativefree filtering,

Central Difference Kalman Filter,

Unscented Kalman Filter,

Related subjects:

Computer sciences,

Computer sciences, other,

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.

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