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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Detalles Bibliográficos

Principais autores:	Chenkai Tan, Yingfeng Cai, Hai Wang, Xiaoqiang Sun, Long Chen
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2023-07-01
Series:	Sensors
Assuntos:	IMU calibration unscented Kalman filtering on manifolds physics-informed neural network vehicle state estimation multi-sensor fusion
Acceso en liña:	https://www.mdpi.com/1424-8220/23/15/6665
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