The Kalman filter (KF) is a popular state estimation technique that is utilized in a variety of
applications, including positioning and navigation, sensor networks, battery management …

Flight control of unmanned aerial vehicle (UAV) requires reliable measurements of UAV's
position and attitude. Optical flow sensor is able to detect UAV's motion with respect to the …

Low-cost magnetic and inertial sensors based on micro-electro-mechanical systems
(MEMS) are extensively used for navigation systems. However, measurements of the …

The inertial sensor motion capture system has significant advantages over the classical
optical motion capture system, including its high versatility, portability, and affordability …

Magnetic and inertial measurement units are extensively used to determine the navigation
systems' attitude and position. However, magnetic sensors are susceptible to external …

In this paper, a novel hierarchical fusion based on maximum correntropy decentralized
information filtering and covariance intersection has been proposed for clustered WSNs …

A different approach for attitude filtering integrates the filter with one of the static attitude
estimators (eg QUEST) such that the filter uses the estimated attitude by this estimator as the …

This paper proposes an improved attitude estimation algorithm based on the extended
Kalman filter (EKF), and it is applied to suppress the accuracy reduction in attitude …

This work shows an attitude estimator (AE) based on a time-varying Kalman filter (TVKF) and
adapted to those cases where a low-acceleration assumption can be applied. This filter is an …

Magnetic and inertial measurement units (MIMUs) are mainly used for determining the
attitude of moving bodies. The extended Kalman filter (EKF) and the complementary filters …