An Integrated Deep Ensemble-Unscented Kalman Filter for Sideslip Angle Estimation With Sensor Filtering Network

An Integrated Deep Ensemble-Unscented Kalman Filter for Sideslip Angle Estimation With Sensor Filtering Network

An integration scheme for sideslip angle estimation is proposed where a deep neural network and a simple kinematics-based model are combined in an unscented Kalman filter. The deep neural network contains two modules: a sensor filtering network designed to overcome the limitations of the kinematics-...

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Bibliographic Details
Main Authors: Dongchan Kim, Gihoon Kim, Seungwon Choi, Kunsoo Huh
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Sideslip angle estimation
kinematic model
unscented Kalman filter
deep ensemble
uncertainty
sensor filtering network
Online Access:https://ieeexplore.ieee.org/document/9604007/

Internet

https://ieeexplore.ieee.org/document/9604007/

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