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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Published in | 2023 IEEE Intelligent Vehicles Symposium (IV) pp. 1 - 6 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
04.06.2023
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Subjects | |
Online Access | Get full text |
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