We review some advances of the particle filtering (PF) algorithm that have been achieved in
the last decade in the context of target tracking, with regard to either a single target or …

This paper provides an overview of nonlinear state estimation techniques along with a
discussion on the challenges and opportunities for future work in the field. Emphasis is given …

Information and communication technologies (ICTs) have contributed to advances in
Occupational Health and Safety, improving the security of workers. The use of Personal …

This work proposes a technique for the controlled incorporation of nanoinclusions into a
polymer matrix, which, as expected, will help resolve the contradiction in the requirements …

Two fundamental approaches to information averaging are based on linear and logarithmic
combination, yielding the arithmetic average (AA) and geometric average (GA) of the fusing …

We propose a novel consensus notion, called “partial consensus,” for distributed Gaussian
mixture probability hypothesis density fusion based on a decentralized sensor network, in …

From the celebrated Gaussian mixture, model averaging estimators to the cutting-edge multi-
Bernoulli mixture of various forms, finite mixture models offer a fundamental and flexible …

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 …

Earth orbit is a limited natural resource that hosts a vast range of vital space-based systems
that support the international community's national, commercial and defence interests. This …

Small unmanned aircraft vehicles (SUAVs) or drones are very useful for visual detection and
tracking due to their efficiency in capturing scenes. This paper addresses the detection and …