A2DIO: Attention-Driven Deep Inertial Odometry for Pedestrian Localization based on 6D IMU
Yingying Wang,Hu Cheng,Max Q.-H. Meng,Yingying Wang,Hu Cheng,Max Q.-H. Meng
In this work, we propose A2DIO, a novel hybrid neural network model with a set of carefully designed attention mechanisms for pose invariant inertial odometry. The key idea is to extract both local and global features from the window of IMU measurements for velocity prediction. A2DIO leverages the convolutional neural network (CNN) to capture the sectional features and long-short term memory (LSTM...
