IMU Data Processing For Inertial Aided Navigation: A Recurrent Neural Network Based Approach

@article{Zhang2021IMUDP,
  title={IMU Data Processing For Inertial Aided Navigation: A Recurrent Neural Network Based Approach},
  author={Mingming Zhang and Mingming Zhang and Yiming Chen and Mingyang Li},
  journal={2021 IEEE International Conference on Robotics and Automation (ICRA)},
  year={2021},
  pages={3992-3998}
}
In this work, we propose a novel method for performing inertial aided navigation, by using deep neural net-works (DNNs). To date, most DNN inertial navigation methods focus on the task of inertial odometry, by taking gyroscope and accelerometer readings as input and regressing for integrated IMU poses (i.e., position and orientation). While this design has been successfully applied on a number of applications, it is not of theoretical performance guarantee unless patterned motion is involved… 

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