Technological developments over the past two decades have resulted in the development of
more accurate and lightweight low-cost magnetic and inertial measurement units (MIMUs) …

This paper proposes a Kalman filter-based attitude (ie, roll and pitch) estimation algorithm
using an inertial sensor composed of a triaxial accelerometer and a triaxial gyroscope. In …

This paper is concerned with orientation estimation using inertial and magnetic sensors. A
quaternion-based indirect Kalman filter structure is used. The magnetic sensor output is only …

The aim of this study was to validate a wearable inertial measurement unit (IMU), containing
a 3D accelerometer and gyroscope, for the estimation of countermovement jump height. The …

In navigation and motion control of an autonomous vehicle, estimation of attitude and
heading is an important issue, especially when the localization sensors such as global …

In this paper, Direction Cosine Matrix (DCM) method for attitude and orientation estimation is
discussed. DCM method was chosen due to some advantages over the popular methods …

The aim of this study was the fine tuning of a Kalman filter with the intent to provide optimal
estimates of lower trunk orientation in the frontal and sagittal planes during treadmill walking …

This paper presents a self-aiding scheme for improved attitude determination using low-cost
MEMS-based inertial measurement unit consisting of three axis accelerometers, gyroscopes …

Attitude estimation is often inaccurate during highly dynamic motion due to the external
acceleration. This paper proposes extended Kalman filter‐based attitude estimation using a …

The agricultural machinery implements in paddy field are required to measure the roll angle
dynamically. In order to reduce the effects of external acceleration on roll estimation thus …