A review of various calibration techniques of MEMS inertial sensors is presented in this
paper. MEMS inertial sensors are subject to various sources of error, so it is essential to …

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 …

Artificial intelligence and all its supporting tools, eg machine and deep learning in
computational intelligence-based systems, are rebuilding our society (economy, education …

In this letter we propose a tightly-coupled Extended Kalman Filter framework for IMU-only
state estimation. Strap-down IMU measurements provide relative state estimates based on …

In this paper, we propose a novel accurate method for dead-reckoning of wheeled vehicles
based only on an Inertial Measurement Unit (IMU). In the context of intelligent vehicles …

This paper sets a new foundation for data-driven inertial navigation research, where the task
is the estimation of horizontal positions and heading direction of a moving subject from a …

Modern inertial measurements units (IMUs) are small, cheap, energy efficient, and widely
employed in smart devices and mobile robots. Exploiting inertial data for accurate and …

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 …