Deep Learning for Inertial Sensor Alignment

arXiv:2212.11120v2 Announce Type: replace-cross
Abstract: Accurate alignment of a fixed mobile device equipped with inertial sensors inside a moving vehicle is important for navigation, activity recognition, and other applications. Accurate estimation of the device mounting angle is required to rotate the inertial measurement from the sensor frame to the moving platform frame to standardize measurements and improve the performance of the target task. In this work, a data-driven approach using deep neural networks (DNNs) is proposed to learn the yaw …

abstract alignment applications arxiv cs.cv cs.lg cs.ro deep learning inside measurement mobile mobile device moving navigation platform recognition sensor sensors type