no code implementations • 13 Nov 2023 • Dario Tagliaferri, Marco Manzoni, Marouan Mizmizi, Stefano Tebaldini, Andrea Virgilio Monti-Guarnieri, Claudio Maria Prati, Umberto Spagnolini
Coherent multistatic radio imaging represents a pivotal opportunity for forthcoming wireless networks, which involves distributed nodes cooperating to achieve accurate sensing resolution and robustness.
no code implementations • 17 May 2023 • Marco Manzoni, Dario Tagliaferri, Stefano Tebaldini, Marouan Mizmizi, Andrea Virgilio Monti-Guarnieri, Claudio Maria Prati, Umberto Spagnolini
Networked sensing refers to the capability of properly orchestrating multiple sensing terminals to enhance specific figures of merit, e. g., positioning accuracy or imaging resolution.
no code implementations • 25 Jan 2022 • Marco Manzoni, Dario Tagliaferri, Marco Rizzi, Stefano Tebaldini, Andrea Virgilio Monti-Guarnieri, Claudio Maria Prati, Monica Nicoli, Ivan Russo, Sergi Duque, Christian Mazzucco, Umberto Spagnolini
With the advent of self-driving vehicles, autonomous driving systems will have to rely on a vast number of heterogeneous sensors to perform dynamic perception of the surrounding environment.
no code implementations • 28 Oct 2021 • Marco Manzoni, Marco Rizzi, Stefano Tebaldini, Andrea Virgilio Monti-Guarnieri, Claudio Maria Prati, Dario Tagliaferri, Monica Nicoli, Ivan Russo, Christian Mazzucco, Sergi Duque Biarge, Umberto Spagnolini
This paper deals with the analysis, estimation, and compensation of trajectory errors in automotive-based Synthetic Aperture Radar (SAR) systems.
no code implementations • 28 Oct 2021 • Marco Rizzi, Marco Manzoni, Stefano Tebaldini, Andrea Virgilio Monti-Guarnieri, Claudio Maria Prati, Dario Tagliaferri, Monica Nicoli, Ivan Russo, Christian Mazzucco, Simón Tejero Alfageme, Umberto Spagnolini
Automotive synthetic aperture radar (SAR) systems are rapidly emerging as a candidate technological solution to enable a high-resolution environment mapping for autonomous driving.