In this review, the research progress of bio-inspired polarized skylight navigation is
evaluated from the perspectives of theoretical basis, information detection, sensor design …

Structural displacement monitoring is essential because displacement can provide critical
information regarding the health condition of civil structures. However, the precise estimation …

Kalman filters (KFs) are widely used for state-of-charge (SOC) estimation of Li-ion batteries
due to their excellent dynamic tracking capability. Especially the cubature KF (CKF), with the …

In indoor robot localization by using ultra-wideband (UWB), the extended Kalman filter (EKF)-
based algorithms suffer from the colored measurement noise (CMN) that degrades the …

In this paper, a framework that combines an M-estimation and information-theoretic-learning
(ITL)-based Kalman filter under impulsive noises is presented. The ITL-based methods …

Accurate and reliable navigation data is a key component in Internet of Things (IoT). High-
precision and stable autonomous orientation has attracted considerable attention regarding …

This article presents a framework for a pseudolinear Kalman filter (PLKF) based on the
maximum correntropy criterion for the bearings-only target tracking problem in non …

Abstract Global Positioning System (GPS)/Inertial Navigation System (INS) integration is a
widely used technique for navigation and positioning applications. It combines the …

The continuous, reliable, and accurate acquisition of position information is a fundamental
requirement for autonomous vehicles. It underpins perception, decision-making, and …

As a common integrated navigation system, the strapdown inertial navigation system
(SINS)/global positioning system (GPS) can estimate velocity and position errors well. Many …