The orientation information is critical for the mobile robot. However, the robot's constrained
locomotion, complicated magnetic field environment, and the coupled orientation estimation …

Error-state extended Kalman filter (ESEKF) is one of the extensively used filtering
techniques in robot systems. There are many works that cast ESEKF on manifolds to …

Unmanned tractor relies on multi-sensor information collection to obtain the current state or
parameters. However, when driving in complex field, it will inevitably suffer from the uneven …

The micro-electro-mechanical technology facilitates the development of low-cost orientation
estimation solutions using inertial and magnetic sensors. However, the magnetic …

Motivation: Magnetic–inertial measurement units (MIMUs) and flexible sensors are widely
used in the wearable measurement system for human motion monitoring, clinical gait …

Nowadays, magnetic and inertial measurement units (MIMUs) have become useful tools for
determining the attitude of moving objects. An attitude calculation algorithm (ACA) is …

For mobile robots, attitude information plays a crucial role in mobile robot applications.
However, the real-time positioning of robots is often hindered by issues such as robot …

Orientation estimation using inertial and magnetic sensors has permeated into various
applications. However, robust roll and pitch estimates are still challenging for the orientation …

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 …

Magnetometer is easily disturbed via external magnetic fields in complex interference
environment, which reduces attitude estimation accuracy and seriously affects navigation …