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
Autores principales: Tan, Chenkai, Cai, Yingfeng, Wang, Hai, Sun, Xiaoqiang, Chen, Long
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422649/
https://www.ncbi.nlm.nih.gov/pubmed/37571450
http://dx.doi.org/10.3390/s23156665

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422649/
https://www.ncbi.nlm.nih.gov/pubmed/37571450
http://dx.doi.org/10.3390/s23156665

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