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 …

Several machine learning (ML) methodologies are gaining popularity as artificial
intelligence (AI) becomes increasingly prevalent. An artificial neural network (ANN) may be …

In terms of the availability and accuracy of positioning, navigation, and timing (PNT), the
traditional Global Navigation Satellite System (GNSS) algorithms and models perform well …

Kalman filter is a commonly used method in the Global Navigation Satellite System
(GNSS)/Inertial Navigation System (INS) integrated navigation system, in which the process …

In the recent years, the availability of accurate vehicle position becomes more urgent. The
global navigation satellite systems/inertial navigation system (GNSS/INS) is the most used …

Position and orientation system (POS) is a key technology widely used in remote sensing
applications, which integrates inertial navigation system (INS) and GPS using a Kalman filter …

How to limit the drifts of the navigation errors in an inertial navigation system (INS) with low-
cost sensors is one of the main challenges for the land vehicle navigations. In this paper, we …

Recently, the range of available Radio Frequency Identification (RFID) tags has been
widened to include smart RFID tags which can monitor their varying surroundings. One of …

To improve the performance of the Global Positioning System/Inertial Navigation System
(GPS/INS) integrated navigation system, current research studies merely combine neural …

This paper presents a Novel Adaptive Fuzzy Extended Kalman Filter namely (NAFEKF)
which has been developed and applied for attitude estimation using only the outputs of strap …