Inertial sensing is employed in a wide range of applications and platforms, from everyday
devices such as smartphones to complex systems like autonomous vehicles. In recent years …

This review article is an attempt to survey all recent AI based techniques used to deal with
major functions in This review paper presents a comprehensive overview of end-to-end …

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 …

Gait performance is an important marker of motor and cognitive decline in older adults. An
instrumented gait analysis resorting to inertial sensors allows the complete evaluation of …

Smartphone with multiple sensors integration has been widely used for navigation. The
inertial measurement unit (IMU) embedded in smartphones has been widely used for …

At present, human-robot collaboration systems usually focus on robot followership and only
achieve one-way system feedback. To make robots proactively collaborate with humans in …

Odometer has been proven to significantly improve the robustness and accuracy of the
Global Navigation Satellite System/Inertial Navigation System (GNSS/INS) integrated …

Inertial Measurement Unit (IMU) plays an important role in inertial aided navigation on
robots. However, raw IMU data could be noisy, especially for low-cost IMUs, and thus …

In this work, we propose a novel method for performing inertial aided navigation, by using
deep neural net-works (DNNs). To date, most DNN inertial navigation methods focus on the …

Inertial Measurement Units (IMUs) have become a popular solution for tracking human
motion. The main problem of using IMU data for deriving the position of different body …