84 citations · 114 across the 13 of their papers we have counts for
13 papers
Human Walking Sensing and Pose Estimation in the 6 GHz Band Using Amplitude and Phase CSI
Zhaorui Yin, Mattia Brambilla, Monica Nicoli
This paper investigates human pose estimation from Orthogonal Frequency-Division Multiplexing (OFDM) signals in an indoor multistatic wireless network operating in the 6 GHz band.…
Highway Readiness Assessment for SAE Levels of Automation and V2X Notification
Lorenzo Italiano, Federico Marino, Mattia Brambilla +3
While highway automation is advancing rapidly, road operators still lack practical methods to assess the readiness of their infrastructures for supporting automated driving systems…
Towards 6G Single-Anchor Vehicle Localization Exploiting Radio-Reflective Road Markings in Tunnel Environments
Lorenzo Italiano, Mattia Brambilla, Monica Nicoli
Accurate vehicular localization remains a key challenge for cooperative intelligent transport systems (C-ITS), especially in areas without global navigation satellite system (GNSS)…
Target Classification for Integrated Sensing and Communication in Industrial Deployments
Luca Barbieri, Marcus Henninger, Paolo Tosi +4
Integrated Sensing and Communication (ISAC) systems enable cellular networks to jointly operate as communication technology and sense the environment. While opportunities and poten…
HoloTrace: a Location Privacy-Preserving Framework for mmWave MIMO-OFDM Systems
Lorenzo Italiano, Alireza Pourafzal, Hui Chen +4
The technological innovation towards 6G cellular networks introduces unprecedented capabilities for user equipment (UE) localization, but it also raises serious concerns about phys…
Bayesian Federated Learning for Continual Training
Usevalad Milasheuski, Luca Barbieri, Sanaz Kianoush +2
Bayesian Federated Learning (BFL) enables uncertainty quantification and robust adaptation in distributed learning. In contrast to the frequentist approach, it estimates the poster…
Joint Travel Route Optimization Framework for Platooning
Akif Adas, Stefano Arrigoni, Mattia Brambilla +2
Platooning represents an advanced driving technology designed to assist drivers in traffic convoys of varying lengths, enhancing road safety, reducing driver fatigue, and improving…
A Federated Learning Platform as a Service for Advancing Stroke Management in European Clinical Centers
Diogo Reis Santos, Albert Sund Aillet, Antonio Boiano +10
The rapid evolution of artificial intelligence (AI) technologies holds transformative potential for the healthcare sector. In critical situations requiring immediate decision-makin…
Compressed Bayesian Federated Learning for Reliable Passive Radio Sensing in Industrial IoT
Luca Barbieri, Stefano Savazzi, Monica Nicoli
Bayesian Federated Learning (FL) has been recently introduced to provide well-calibrated Machine Learning (ML) models quantifying the uncertainty of their predictions. Despite thei…
A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications
Antonio Boiano, Marco Di Gennaro, Luca Barbieri +7
Federated Learning (FL) has emerged as a promising approach for privacy-preserving machine learning, particularly in sensitive domains such as healthcare. In this context, the TRUS…
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks
Usevalad Milasheuski, Luca Barbieri, Bernardo Camajori Tedeschini +2
Federated Learning (FL) allows multiple privacy-sensitive applications to leverage their dataset for a global model construction without any disclosure of the information. One of t…
Deep Learning-based Cooperative LiDAR Sensing for Improved Vehicle Positioning
Luca Barbieri, Bernardo Camajori Tedeschini, Mattia Brambilla +1
Accurate positioning is known to be a fundamental requirement for the deployment of Connected Automated Vehicles (CAVs). To meet this need, a new emerging trend is represented by c…
A Tutorial on 5G Positioning
Lorenzo Italiano, Bernardo Camajori Tedeschini, Mattia Brambilla +3
The widespread adoption of the fifth generation (5G) of cellular networks has brought new opportunities for the development of localization-based services. High-accuracy positionin…