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

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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Bibliographic Details
Main Authors: Chenkai Tan, Yingfeng Cai, Hai Wang, Xiaoqiang Sun, Long Chen
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
IMU calibration
unscented Kalman filtering on manifolds
physics-informed neural network
vehicle state estimation
multi-sensor fusion
Online Access:https://www.mdpi.com/1424-8220/23/15/6665

Internet

https://www.mdpi.com/1424-8220/23/15/6665

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