This paper proposes a novel fuzzy-adaptive extended Kalman filter (FAEKF) for the real-time
attitude estimation of agile mobile platforms equipped with magnetic, angular rate, and …

Sensor fault detection and isolation (SFDI) is a fundamental topic in unmanned aerial
vehicle (UAV) development, where attitude estimation plays a key role in flight control …

Gait analysis is the method to accumulate walking data. It is useful in diagnosing diseases,
follow-up of symptoms, and rehabilitation post-treatment. Several techniques have been …

Background Fine-scale data on animal position are increasingly enabling us to understand
the details of animal movement ecology and dead-reckoning, a technique integrating motion …

6D object pose tracking has been extensively studied in the robotics and computer vision
communities. The most promising solutions, leveraging on deep neural networks and/or …

ABSTRACT Inertial Measurement Units (IMU) are commonly used in inertial attitude
estimation from engineering to medical sciences. There may be disturbances and high …

This article proposes two novel covariance-tuning methods to form a robust Kalman filter
(RKF) algorithm for attitude (ie, roll and pitch) estimation using the measurements of only an …

A new predictor–corrector filter for attitude and heading reference systems (AHRS) using
data from an orthogonal sensor combination of three accelerometers, three magnetometers …

In recent years the use of Unmanned Aerial Vehicles (UAVs) has considerably grown in the
civil sectors, due to their high flexibility of use. Currently, two important key points are making …

This article presents a novel direct filtering approach for loosely coupled global positioning
system (GPS) and inertial navigation system (INS) integration. The proposed model is …