Vehicle State Estimation Combining Physics-Informed Neural Network and Unscented Kalman Filtering on Manifolds

This paper proposes a novel vehicle state estimation (VSE) method that combines a physics-informed neural network (PINN) and an unscented Kalman filter on manifolds (UKF-M). This VSE aimed to achieve inertial measurement unit (IMU) calibration and provide comprehensive information on the vehicle’s d...

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Autors principals:	Chenkai Tan, Yingfeng Cai, Hai Wang, Xiaoqiang Sun, Long Chen
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-07-01
Col·lecció:	Sensors
Matèries:	IMU calibration unscented Kalman filtering on manifolds physics-informed neural network vehicle state estimation multi-sensor fusion
Accés en línia:	https://www.mdpi.com/1424-8220/23/15/6665
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