Wireless sensor networks (WSNs) have become a popular technology for a broad range of
applications where the goal is to track and forecast the evolution of time-varying physical …

This paper presents a measurement dissemin-ation-based distributed Bayesian filter (DBF)
for a network of unmanned ground vehicles (UGVs). The DBF utilizes the latest-in-and-full …

We propose an average consensus approach for distributed SMC-PHD (sequential Monte
Carlo-probability hypothesis density) fusion, in which local filters extract Gaussian mixtures …

This paper focuses on addressing the data fusion problems in asynchronous sensor
networks using distribute particle filter (DPF). Generally, the type of the local information …

Measurement Integration for Localization and Tracking | SpringerLink Skip to main content
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …

This dissertation deals with the design and development of distributed fault detection and
isolation (FDI) methods for large-scale nonlinear uncertain systems. Analytical and …

This paper presents a novel distributed Bayesian filtering (DFB) method using measurement
dissemination for multiple unmanned ground vehicles (UGVs) with dynamically changing …

This paper presents a measurement dissemination-based distributed Bayesian filtering
(DBF) approach for a network of unmanned ground vehicles (UGVs). The DBF utilizes the …

ACKNOWLEDGEMENTS I would like to express special appreciation and thanks to my
advisor Professor Dr. Ioannis D. Schizas: You have been a great mentor to me. I'm grateful to …

Recent progress in robotic systems has significantly advanced robot functional capabilities,
including perception, planning, and control. As robots are gaining wider applications in our …