This work presents the current state-of-the-art in techniques for tracking a number of objects
moving in a coordinated and interacting fashion. Groups are structured objects …

In recent years, theoretical and practical research on large‐scale networked systems has
gained an increasing attention from multiple disciplines including engineering, computer …

A constrained sufficient statistic (CSS)-based distributed particle filter (CSS/DPF)
implementation is proposed for nonlinear bearing-only and joint bearing/range tracking …

We present the Bayesian consensus filter (BCF) for tracking a moving target using a
networked group of sensing agents and achieving consensus on the best estimate of the …

The use of distributed particle filters for tracking in sensor networks has become popular in
recent years. The distributed particle filters proposed in the literature up to now are only …

In distributed target tracking for wireless sensor networks, agreement on the target state can
be achieved by the construction and maintenance of a communication path, in order to …

We introduce in this paper the fully distributed, random exchange diffusion particle filter
(ReDif-PF) to track a moving emitter using multiple received signal strength (RSS) sensors …

Directional data can emerge in many scientific disciplines due to the nature of the observed
phenomena or the working principles of a sensor. Such direction-only sensors can be used …

In this paper we study the problem of Bayesian sensor fusion for dynamic object tracking.
The prospects of utilizing measurements from several sensors to infer about a system state …

Agent-based simulation of smart environment finds its application in studying people's
movement to help the design of a variety of applications such as energy utilization, HAVC …