REVIEW OF KALMAN FILTER MODIFICATIONS USING THE EXAMPLE OF TRACKING A MOVING OBJECT
DOI:
https://doi.org/10.24867/30BE23GolicKeywords:
Kalman filter, Unscented Kalman filter, Extended Kalman filter, Ensemble Kalman filterAbstract
This paper provides an overview of Kalman filter modifications applied to the problem of tracking a moving object, comparing their performances in trajectory estimation.
References
[1] T. Omeragic, J. Velagic, “Tracking of moving objects based on extended Kalman filter,” Faculty of Electrical Engineering, Sarajevo, 2020.
[2] S. Thrun, W. Burgard, D. Fox, “Probabilistic Robotics,” Cambridge, MA, MIT Press, 2005.
[3] P. S. Maybeck, “The Kalman Filter: An Introduction to Concepts,” Autonomous Robot Vehicles, 1990.
[2] S. Thrun, W. Burgard, D. Fox, “Probabilistic Robotics,” Cambridge, MA, MIT Press, 2005.
[3] P. S. Maybeck, “The Kalman Filter: An Introduction to Concepts,” Autonomous Robot Vehicles, 1990.
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Published
2025-03-07
Issue
Section
Electrotechnical and Computer Engineering
