During the last two decades there has been a growing interest in Particle Filtering (PF).
However, PF suffers from two long-standing problems that are referred to as sample …

The decision-making processes in an autonomous mechatronic system rely on data coming
from multiple sensors. An optimal fusion of information from distributed multiple sensors …

As a commonly encountered problem in the particle filters (PFs), the particle impoverishment
is caused partially by the reduction of particle diversity after resampling. In this paper, a …

This article presents a novel sensor-fusion method for indoor vehicle tracking. The phase of
the signals backscattered by a set of Ultra High Frequency-Radio Frequency Identification …

The constructive need for robots to coexist with humans requires human-machine
interaction. It is a challenge to operate these robots in such dynamic environments, which …

The objective of this paper is to review the theories and approaches of multisensor fusion
and integration (MFI) with its application in mechatronics. MFI helps the system perceiving …

Indoor localization and tracking of moving human targets is a task of recognized importance
and difficulty. In this paper, we describe a position measurement technique based on the …

Agent-based models (ABMs) are gaining traction as one of the most powerful modelling
tools within the social sciences. They are particularly suited to simulating complex systems …

The ability to track multiple objects is crucial for roadside units to provide high-precision,
trajectory-based traffic data, especially for connected vehicles that require complementary …

The increasing diffusion of mobile and portable devices provided with wireless connectivity
makes the problem of distance measurement based on radio-frequency technologies …