Bayesian Optimization for Fine-Tuning EKF Parameters in UAV Attitude and Heading Reference System Estimation

Bayesian Optimization for Fine-Tuning EKF Parameters in UAV Attitude and Heading Reference System Estimation

In various applications, the extended Kalman filter (EKF) has been vital in estimating a vehicle’s translational and angular motion in 3-dimensional (3D) space. It is also essential for the fusion of data from multiple sensors. However, for the EKF to perform effectively, the optimal process noise c...

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Bibliographic Details
Main Authors: Assefinew Wondosen, Yisak Debele, Seung-Ki Kim, Ha-Young Shi, Bedada Endale, Beom-Soo Kang
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Aerospace
Subjects:
extended Kalman filter
covariance tuning
Bayesian optimization
attitude and heading reference system
UAV
Online Access:https://www.mdpi.com/2226-4310/10/12/1023

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