Conferences | Systems, Robotics & Vision Group

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...

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

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