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Found 9 papers, 0 papers with code
3D Localization and Tracking Methods for Multi-Platform Radar Networks
Simulated experiments show the benefit of the combined algorithm in comparison with the conventional baseline SPA-based MTT and the stand-alone ARCE localization, in a 3D sensing scenario.
Monitoring of Underwater Critical Infrastructures: the Nord Stream and Other Recent Case Studies
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 Underwater Critical Infrastructures (UCIs).
Fusion of Sensor Measurements and Target-Provided Information in Multitarget Tracking
Here, we develop a statistical model and algorithm for tracking an unknown number of targets based on the probabilistic fusion of observations from two classes of data sources.
Cooperative Localization and Multitarget Tracking in Agent Networks with the Sum-Product Algorithm
This paper addresses the problem of multitarget tracking using a network of sensing agents with unknown positions.
Quickest Detection and Forecast of Pandemic Outbreaks: Analysis of COVID-19 Waves
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.
Space-based Global Maritime Surveillance. Part II: Artificial Intelligence and Data Fusion Techniques
Maritime surveillance (MS) is of paramount importance for search and rescue operations, fishery monitoring, pollution control, law enforcement, migration monitoring, and national security policies.
Space-based Global Maritime Surveillance. Part I: Satellite Technologies
Maritime surveillance (MS) is crucial for search and rescue operations, fishery monitoring, pollution control, law enforcement, migration monitoring, and national security policies.
Quickest Detection of COVID-19 Pandemic Onset
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 statistics.
Classification-Aided Multitarget Tracking Using the Sum-Product Algorithm
Multitarget tracking (MTT) is a challenging task that aims at estimating the number of targets and their states from measurements of the target states provided by one or multiple sensors.
