activity has mainly been focused on information theory, signal theory, signal and image processing, location and navigation technologies, and their applications to both telecommunications systems and remote sensing. Since December 2008, Prof. Neri is the President of the RadioLabs Consortium, a non-profit Research Center created in 2001 to promote tight cooperation on applied research programs between universities and industries.Veronica PALMA received the Laurea (Master attended the "Biomedical electronics, Electromagnetics and Telecommunications" doctoral school in Engineering of the University "Roma TRE", achieving her Ph.D. degree in April, 2011 with the thesis entitled "Distributed Video Coding of 3D Sources". She is now collaborating with RadioLabs, where she has been involved in European projects like ESSOR (European Secure Software defined Radio), 3InSat (ESA project), a project on satellite navigation in railway environments and D-BOX (FP7), as project manager, on the demining tool-BOX for humanitarian clearing of large scale areas from anti-personnel landmines and cluster munitions. Currently, she is working in H2020 projects as: ERSAT EAV -"ERTMS on SATELLITE -Enabling Application Validation", RHINOS and STARS. She is involved in developing a system to provide the current position of a train/car/UAV in motion, based on GNSS measurements and augmentation networks corrections, with high-demanding requisites on reliability. She is the director of the Radiolabs laboratory at the headquarters in Rome. Her research interests are mainly focused on: routing protocol optimization in mobile networks, network coding and satellite navigation.Maurizio SALVITTI is the current Program Manager of the RadioLabs Consortium (Consortium of Universities Industry -Communications Laboratories), responsible for managing the program for the entire portfolio of research projects at national, European and international level, in which the Consortium is involved. During the course of his long career (> 25 years) he has worked in many telecommunications companies (telecommunications operator and services provider, technology manufacturers and vendor ) operating both nationally and internationally where he held various managerial positions in the area of Engineering , Operations and Project Management Office as Officer responsible of the coordination of complex projects , these latter in their complete life cycle ( from feasibility study to implementation, to design, to development , to installation and testing ) and in a multicultural environment. Before aforementioned experience in the Telecommunications he has worked (9 years) in the Defense and Space sector by covering several responsibilities in companies of the Finmeccanica group.Cosimo STALLO obtained cum laude the Ph.
This paper proposes a local augmentation and integrity monitoring network for railway and shows the obtained performances in terms of accuracy positioning in case of satellite faults. The simulations results show that the system can detect and discard tha faulty satellite, still mantaining the accuracy on positioning accetable. The work is inserted in the scenario of introduction and application of space technologies based on the ERTMS (European Railways Train Management System) architecture. It foresees to include the EGNOS-Galileo infrastructures in the train control system, with the aim at improving performance, enhancing safety and reducing the investments on the railways circuitry and its maintenance. © 2014 IEEE
A novel technique for searching for complex patterns in large multimedia databases is presented, based on rotation independent template matching. To handle objects of arbitrary shape while reducing the computational workload, the pattern to be localized is partitioned into small square blocks of sizes adapted to the local image content using quadtree decomposition. The use of Zernike polynomials for representing each block allows the design of a fast and effective maximum likelihood matching procedure to sequentially verify whether the target image contains each block of the quadtree. State of the art methods usually represent the whole pattern by using an orthogonal basis and extracting an invariant feature vector from the representation coefficients. In the proposed scheme, the use of the quadtree decomposition allows us to bind the number of terms of the truncated expansions, still guaranteeing a precise image representation
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.