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eess.SP2024
DoorINet: Door Heading Prediction through Inertial Deep Learning
Aleksei Zakharchenko, Sharon Farber, Itzik Klein
Inertial sensors are widely used in a variety of applications. A common task is orientation estimation. To tackle such a task, attitude and heading reference system algorithms are…
eess.SP2024
Outlier-Insensitive Kalman Filtering: Theory and Applications
Shunit Truzman, Guy Revach, Nir Shlezinger +1
State estimation of dynamical systems from noisy observations is a fundamental task in many applications. It is commonly addressed using the linear Kalman filter (KF), whose perfor…