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Updated: Jul 19, 2025

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车辆状态估计 结合物理信息的神经网络和无气味的卡尔曼过在多元组上

Chenkai Tan1, Yingfeng Cai1, Hai Wang2

  • 1Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
概括

本研究引入了一种新的车辆状态估计方法,使用物理信息的神经网络 (PINN) 和无气味的卡尔曼波器 (UKF-M) 来进行精确的IMU校准和动态状态跟踪.

关键词:
在IMU校准时,IMU的校准.多传感器融合融合技术基于物理学的神经网络.在体上使用无气味的卡尔曼波器.车辆状态估计车辆状态估计

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