IMU Data Processing For Inertial Aided Navigation: A Recurrent Neural Network Based Approach
Ming Zhang,Mingming Zhang,Yiming Chen,Mingyang Li,Ming Zhang,Mingming Zhang,Yiming Chen,Mingyang Li
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 ...
