What is it about?
tracking, estimation.
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Why is it important?
high estimation accuracy, low computational complexity.
Perspectives
Tutorial of better approaches than particle filtering
Dr. Jaechan Lim
Sogang University
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This page is a summary of: Variants of extended Kalman filtering approaches for Bayesian tracking, International Journal of Robust and Nonlinear Control, June 2016, Wiley,
DOI: 10.1002/rnc.3576.
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