Publications
AI-Driven Marine Citizen Science: SECOSTA’s Blueprint for SeabedExploration
YOLOv8-based sea urchin detection in ROS for AUV applications
Exploring deep waters: preliminary findings and design insights from a stereo vision unit deployment
Automatic deep learning-based pipeline for Mediterranean fish segmentation
Lanty: A Deep Sea Stereo Vision System
Reducing Pessimism in Response Time Analysis of AVB Traffic in TSN
Time-Sensitive Networking (TSN) is a set of standards with significant industrial impact potential, primarily due to its ability to integrate multiple traffic types with different requirements, offering great network flexibility. Among these traffic types, Audio-Video...
An Improved Worst-Case Response Time Analysis for AVB Traffic in Time-Sensitive Networks
Time-Sensitive Networking (TSN) has become one of the most relevant communication networks in many application areas. Among several traffic classes supported by TSN networks, Audio-Video Bridging (AVB) traffic requires a Worst-Case Response Time Analysis (WCRTA) to...
TALESS: TSN with Legacy End-Stations Synchronization
In order to facilitate the adoption of Time Sensitive Networking (TSN) by the industry, it is necessary to develop tools to integrate legacy systems with TSN. In this article, we propose a solution for the coexistence of different time domains from different legacy...
Measuring the temporal evolution of seagrass Posidonia oceanica coverage using autonomous marine robots and Deep Learning
Towards a Node Active Replication Schema for Highly Reliable Distributed Control Systems Based on TSN
Given their nature, many control applications that arise from the integration of Operation Technologies (OT) and Information Technologies (IT) are built on top of highly reliable real-time (RT) Distributed Control Systems (DCSs). Since a DCS is made up of several...
Characterizing the Tradeoff between Fault Tolerance and Cost of Redundant TSN Networks
New emerging Distributed Control Systems (DCSs), like Substation Automation Systems (SASs) of Smart Power Grids, raise new requirements on their underlying control networks. To meet these new requirements, both Industry and Academia are promoting the Time-Sensitive...
Deep learning for detection and counting of Nephrops norvegicus from underwater videos, ICES Journal of Marine Science
Mapping IEC 61850 GOOSE messages into Time-Sensitive Networking
Modern electrical Substation Automation Systems (SAS) are designed following the guidelines defined in the IEC 61850 standard. This standard specifies the necessary information models and communication services for SAS in such a way that they are independent of the...
Controlling the expansion of Halimeda Incrassata in the Cabrera Natural Park using robots and photo-mosaics
acces to the Book in the University of Florence website: https://books.fupress.com/doi/capitoli/979-12-215-0556-6_5
Automated Mask Generation for Efficient YOLO-based Instance Segmentation in Marine Environments for Fish Detection
This paper addresses the laborious, time-consuming and error-prone process of generating ground truth data to perform instance segmentation of fish in their natural habitat. Our proposal is to use the Segment Anything Model (SAM), which allows zero-shot inference, to...
Combining Progressive Hierarchical Image Encoding and YOLO to Detect Fish in their Natural Habitat
This paper explores the advantages of evaluating Progressive Image Encoding (PIE) methods in the context of the specific task for which they will be used. By focusing on a particular task —fish detection in their natural habitat— and a specific PIE algorithm...
Microplankton discrimination in FlowCAM images using Deep Learning
A Deep Learning Approach to Estimate Halimeda incrassata Invasive Stage in the Mediterranean Sea
Invasive algae, such as Halimeda incrassata, alter marine biodiversity in the Mediterranean Sea. Monitoring these changes over time is crucial for assessing the health of coastal environments and preserving local species. However, this monitoring process is...
Coordination of marine multi robot systems with communication constraints
This article focuses on the coordination and communication aspects of multi-robot systems (MRS) and explores what, how and when robots should coordinate and communicate in marine environment. It includes a comparative analysis of MRS coordination under communication...
Adding Flexibility to Node-Level Fault Tolerance in Distributed Embedded Systems Based on Real-Time Ethernet
Distributed Embedded Systems (DESs) play a key role and are almost ubiquitous in many economic sectors, such as civil avionics, the automotive industry, healthcare, electric power distribution and telecommunications. This type of system is built interconnecting...