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 …

Based on the behavior of the quantum particles, it is possible to formulate mathematical
expressions to develop metaheuristic search optimization algorithms. This paper presents …

This article presents a new estimation method for the parameters of a time series model. We
consider here composite Gaussian processes that are the sum of independent Gaussian …

The integration of observations issued from a satellite-based system (GNSS) with an inertial
navigation system (INS) is usually performed through a Bayesian filter such as the extended …

Regardless of whether the global navigation satellite system (GNSS)/inertial navigation
system (INS) is integrated or the INS operates independently during GNSS outages, the …

A deep neural network (DNN) is trained to estimate the speed of a car driving in an urban
area using as input a stream of measurements from a low-cost six-axis inertial measurement …

In this work, we address the problem of rigorously evaluating the performances of an inertial
navigation system (INS) during its design phase in presence of multiple alternative choices …

As the field of superconducting quantum computing approaches maturity, optimization of
single-device performance is proving to be a promising avenue toward large-scale quantum …

Inertial measurement units (IMUs) are key components of various applications including
navigation, robotics, aerospace, and automotive systems. IMU sensor characteristics have a …

The calibration of low-cost inertial sensors has become increasingly important over the last
couple of decades, especially when dealing with sensor stochastic errors. This procedure is …