Auto-tuning extended Kalman filters to improve state estimation

In this a paper, an auto-tuning Extend Kalman filter (EKF) approach is developed. The objective is to design an algorithm to find the optimal values of the covariance matrices Q and R. Manual tuning of those parameters is hard and time-consuming. Besides, wrong combinations of their values can lead...

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Bibliographic Details
Published in2023 IEEE Intelligent Vehicles Symposium (IV) pp. 1 - 6
Main Authors Boulkroune, Boulaid, Geebelen, Kurt, Wan, Jia, van Nunen, Ellen
Format Conference Proceeding
LanguageEnglish
Published IEEE 04.06.2023
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