Lightweight and low-cost wearable magnetic and inertial measurement units (MIMUs) have
found numerous applications, such as aerial vehicle navigation or human motion analysis …

This paper proposes an adaptive two-stage large-scale multi-objective evolutionary
algorithm, in which a neural network-based accelerating optimizer is designed in the first …

Pedestrian dead reckoning (PDR) is widely used in handheld indoor positioning systems.
However, low-cost inertial sensors built into smartphones provide poor-quality …

Flight control of unmanned aerial vehicle (UAV) requires reliable measurements of UAV's
position and attitude. Optical flow sensor is able to detect UAV's motion with respect to the …

This paper presents an open-source environment for development, tuning, and performance
evaluation of magnetic, angular rate, and gravity-based (MARG-based) filters, such as pose …

The article considers the problem of reconstructing the course of physical quantities whose
measurement is not directly available, but it is possible to measure their time or spatial …

Nowadays, smartphones have become indispensable in people's daily work and life. Since
various sensors and communication chips have been integrated into smartphones, it has …

Attitude estimation methods provide modern consumer, industrial, and space systems with
an estimate of a body orientation based on noisy sensor measurements. The gradient …

The objective of this paper is to propose an energy-aware and gait corrected pedestrian
dead reckoning (PDR) approach using foot-mounted magnetic, angular rate and gravity …

In this paper, a prescribed performance control scheme of the quadrotor unmanned aerial
vehicle (UAV) under attitude and input saturation constraints is introduced. According to the …