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Alessandra Tesei

4 accepted papers

2023

A Robotic Cooperative Network for Localising a Submarine in Distress: Results From REPMUS21

ICRA 2023poster

Autonomy, cooperation and data fusion can increase the performance of robotic networks in many underwater applications. In this paper, we describe a novel occupancy grid (OG) based perception layer, and its use for controlling a network of autonomous underwater vehicles (AUVs), sensorised with passi…

Cited by 7SourceScholar
2020

Cooperative Autonomy and Data Fusion for Underwater Surveillance With Networked AUVs

ICRA 2020poster

Cooperative autonomy and data sharing can largely improve the mission performance of robotic networks in underwater surveillance applications. In this paper, we describe the cooperative autonomy used to control the Autonomous Underwater Vehicles (AUVs) acting as sonar receiver nodes in the CMRE Anti…

Cited by 27SourceScholar
2020

Underwater Tracking Based on the Sum-Product Algorithm Enhanced by a Neural Network Detections Classifier

ICASSP 2020accepted

The necessity of long-range underwater surveillance has strongly increased in the last decades, and low-frequency active sonar (LFAS) systems seem to fulfill this need. However, in littoral environments with shallow water LFAS may suffer from an elevate number of false alarms. In this context, the c…

Cited by 0SourceScholar
2017

Localization of multiple sources using time-difference of arrival measurements

ICASSP 2017accepted

This paper addresses the problem of localizing an unknown number of static sources emitting unknown signals from time-difference of arrival (TDOA) measurements. Based on the framework of random finite sets and finite set statistics, we formulate the Bayesian estimation problem and develop a particle…

Cited by 27SourceScholar