Inertial sensors are widely utilized in smartphones, drones, vehicles, and wearable devices,
playing a crucial role in enabling ubiquitous and reliable localization. Inertial sensor-based …

This article proposes a learning method for denoising gyroscopes of Inertial Measurement
Units (IMUs) using ground truth data, and estimating in real time the orientation (attitude) of a …

Many smartphone applications use inertial measurement units (IMUs) to sense movement,
but the use of these sensors for pedestrian localization can be challenging due to their noise …

The orientation of a magneto and inertial measurement unit (MIMU) is estimated by means
of sensor fusion algorithms (SFAs) thus enabling human motion tracking. However, despite …

Intelligent unmanned systems have important applications, such as pesticide-spraying in
agriculture, robot-based warehouse management systems, and missile-firing drones. The …

The errors of microelectromechanical system (MEMS) inertial measurement units (IMUs) are
huge, complex, nonlinear, and time varying. The traditional calibration method based on a …

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

In this work, we propose a tightly-coupled EKF framework for visual-inertial odometry with
NIN (Neural Inertial Navigation) aided. Traditional VIO systems are fragile in challenging …

Inertial-sensor-based attitude estimation is a crucial technology in various applications, from
human motion tracking to autonomous aerial and ground vehicles. Application scenarios …

The height and stagger of the contact wire directly affect the energy supply of high-speed
trains. To ensure the operation safety, there is an urgent demand for high-speed railways to …