This paper presents an accelerometer-based digital pen for handwritten digit and gesture
trajectory recognition applications. The digital pen consists of a triaxial accelerometer, a …

The authors demonstrate the practical application of the adaptive high-gain extended
Kalman filter (EKF)(AEKF) onboard a quadcopter unmanned aerial vehicle (UAV). The AEKF …

This paper proposes two novel approaches to estimate accurately mobile robot attitudes
based on the fusion of low-cost accelerometers and gyroscopes. The first part of the paper …

In this paper, a novel distributed Kalman filter (KF) algorithm along with a distributed model
predictive control (MPC) scheme for large-scale multi-rate systems is proposed. The …

With the development of ocean exploration technology, the exploration of the ocean has
become a hot research field involving the use of autonomous underwater vehicles (AUVs) …

This paper presents an inertial-measurement-unit-based pen (IMUPEN) and its associated
trajectory reconstruction algorithm for motion trajectory reconstruction and handwritten digit …

Inertial sensors continuously track the 3D orientation of a flying drone, serving as the
bedrock for maneuvers and stabilization. However, even the best inertial measurement units …

An attitude estimation method is presented for small unmanned aerial vehicles (UAVs)
powered by a piston engine which is the major source of vibration. Vibration of the engine …

In this paper, we provide a tutorial for the applications of cost-reference particle filter (CRPF)
to problems in signal processing disciplines. CRPF works in particle filtering (PF) framework …

The design, realization, and experimental validation of an original avionic attitude estimation
unit are presented. The core of the system is a nine-state extended Kalman filter that …