We analyze the convergence aspects of the invariant extended Kalman filter (IEKF), when
the latter is used as a deterministic nonlinear observer on Lie groups, for continuous-time …

As data is a predominant resource in applications, Riemannian geometry is a natural
framework to model and unify complex nonlinear sources of data. However, the …

This paper proposes a novel invariant extended Kalman filter (IEKF), a modified version of
the extended Kalman filter (EKF), for state-of-charge (SOC) estimation of lithium-ion (Li-ion) …

In this letter we extend recent developments in computational optimal transport to the setting
of Riemannian manifolds. In particular, we show how to learn optimal transport maps from …

This research used an invariant extended Kalman filter (IEKF) for the navigation of an
unmanned aerial vehicle (UAV), and compared the properties and performance of this IEKF …

There has been an increasing interest in multi-disciplinary research on multisensor attitude
estimation technology driven by its versatility and diverse areas of application, such as …