232 citations · 799 across the 22 of their papers we have counts for
22 papers
3D Localization and Tracking Methods for Multi-Platform Radar Networks
Angela Marino, Giovanni Soldi, Domenico Gaglione +4
Multi-platform radar networks (MPRNs) are an emerging sensing technology due to their ability to provide improved surveillance capabilities over plain monostatic and bistatic syste…
Track Coalescence and Repulsion in Multitarget Tracking: An Analysis of MHT, JPDA, and Belief Propagation Methods
Thomas Kropfreiter, Florian Meyer, David F. Crouse +3
Joint probabilistic data association (JPDA) filter methods and multiple hypothesis tracking (MHT) methods are widely used for multitarget tracking (MTT). However, they are known to…
Monitoring of Underwater Critical Infrastructures: the Nord Stream and Other Recent Case Studies
Giovanni Soldi, Domenico Gaglione, Simone Raponi +11
The explosions on September 26th, 2022, which damaged the gas pipelines of Nord Stream 1 and Nord Stream 2, have highlighted the need and urgency of improving the resilience of Und…
Large Deviations for Classification Performance Analysis of Machine Learning Systems
Paolo Braca, Leonardo M. Millefiori, Augusto Aubry +2
We study the performance of machine learning binary classification techniques in terms of error probabilities. The statistical test is based on the Data-Driven Decision Function (D…
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis
Paolo Braca, Leonardo M. Millefiori, Augusto Aubry +3
We study the performance -- and specifically the rate at which the error probability converges to zero -- of Machine Learning (ML) classification techniques. Leveraging the theory…
Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimation
Samuele Capobianco, Nicola Forti, Leonardo M. Millefiori +2
Recent deep learning methods for vessel trajectory prediction are able to learn complex maritime patterns from historical Automatic Identification System (AIS) data and accurately…
Track Coalescence and Repulsion: MHT, JPDA, and BP
Thomas Kropfreiter, Florian Meyer, Stefano Coraluppi +3
Joint probabilistic data association (JPDA) and multiple hypothesis tracking (MHT) introduced in the 70s, are still widely used methods for multitarget tracking (MTT). Extensive st…
Cooperative Localization and Multitarget Tracking in Agent Networks with the Sum-Product Algorithm
Mattia Brambilla, Domenico Gaglione, Giovanni Soldi +7
This paper addresses the problem of multitarget tracking using a network of sensing agents with unknown positions. Agents have to both localize themselves in the sensor network and…
Quickest Detection and Forecast of Pandemic Outbreaks: Analysis of COVID-19 Waves
Giovanni Soldi, Nicola Forti, Domenico Gaglione +5
The COVID-19 pandemic has, worldwide and up to December 2020, caused over 1.7 million deaths, and put the world's most advanced healthcare systems under heavy stress. In many count…
Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks
Samuele Capobianco, Leonardo M. Millefiori, Nicola Forti +2
Data-driven methods open up unprecedented possibilities for maritime surveillance using Automatic Identification System (AIS) data. In this work, we explore deep learning strategie…
Space-based Global Maritime Surveillance. Part II: Artificial Intelligence and Data Fusion Techniques
Giovanni Soldi, Domenico Gaglione, Nicola Forti +11
Maritime surveillance (MS) is of paramount importance for search and rescue operations, fishery monitoring, pollution control, law enforcement, migration monitoring, and national s…
Space-based Global Maritime Surveillance. Part I: Satellite Technologies
Giovanni Soldi, Domenico Gaglione, Nicola Forti +11
Maritime surveillance (MS) is crucial for search and rescue operations, fishery monitoring, pollution control, law enforcement, migration monitoring, and national security policies…
Decision Support for the Quickest Detection of Critical COVID-19 Phases
Paolo Braca, Domenico Gaglione, Stefano Marano +3
During the course of an epidemic, one of the most challenging tasks for authorities is to decide what kind of restrictive measures to introduce and when these should be enforced. I…
Quickest Detection of COVID-19 Pandemic Onset
Paolo Braca, Domenico Gaglione, Stefano Marano +3
This paper develops an easily-implementable version of Page's CUSUM quickest-detection test, designed to work in certain composite hypothesis scenarios with time-varying data stati…
COVID-19 Impact on Global Maritime Mobility
Leonardo M. Millefiori, Paolo Braca, Dimitris Zissis +4
To prevent the outbreak of the Coronavirus disease (COVID-19), many countries around the world went into lockdown and imposed unprecedented containment measures. These restrictions…
Algorithms and Fundamental Limits for Unlabeled Detection using Types
Stefano Marano, Peter Willett
Emerging applications of sensor networks for detection sometimes suggest that classical problems ought be revisited under new assumptions. This is the case of binary hypothesis tes…
Signal Amplitude Estimation and Detection from Unlabeled Binary Quantized Samples
Guanyu Wang, Jiang Zhu, Rick S. Blum +4
Signal amplitude estimation and detection from unlabeled quantized binary samples are studied, assuming that the order of the time indexes is completely unknown. First, maximum lik…
Generalized Rao Test for Decentralized Detection of an Uncooperative Target
D. Ciuonzo, P. Salvo Rossi, P. Willett
We tackle distributed detection of a non-cooperative target with a Wireless Sensor Network (WSN). When the target is present, sensors observe an (unknown) deterministic signal with…
A Scalable Algorithm for Tracking an Unknown Number of Targets Using Multiple Sensors
Florian Meyer, Paolo Braca, Peter Willett +1
We propose a method for tracking an unknown number of targets based on measurements provided by multiple sensors. Our method achieves low computational complexity and excellent sca…
An extended target tracking model with multiple random matrices and unified kinematics
Karl Granstrom
This paper presents a model for tracking of extended targets, where each target is represented by a given number of elliptic subobjects. A gamma Gaussian inverse Wishart implementa…
One-bit Decentralized Detection with a Rao Test for Multisensor Fusion
D. Ciuonzo, G. Papa, G. Romano +2
In this letter we propose the Rao test as a simpler alternative to the generalized likelihood ratio test (GLRT) for multisensor fusion. We consider sensors observing an unknown det…
Tracking the Tracker from its Passive Sonar ML-PDA Estimates
D. Ciuonzo, P. K. Willett, Y. Bar-Shalom
Target motion analysis with wideband passive sonar has received much attention. Maximum likelihood probabilistic data-association (ML-PDA) represents an asymptotically efficient es…