Inertial Odometry Using Hybrid Neural Network With Temporal Attention for Pedestrian Localization
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DOI: 10.1109/tim.2022.3186704
Abstract: In this work, a novel hybrid neural network with temporal attention (HNNTA) is proposed for inertial pedestrian localization. The HNNTA model employs the convolutional neural network (CNN) for extracting sectional features from the IMU data,… read more here.
Keywords: neural network; network; temporal attention; hnnta model ... See more keywords