Journals
Deep Semantic Segmentation in an AUV for Online Posidonia Oceanica Meadows Identification
Recent studies have shown evidence of a significant decline of the Posidonia oceanica (P.O.) meadows on a global scale. The monitoring and mapping of these meadows are fundamental tools for measuring their status. We present an approach based on a deep neural network...
Evaluating the Impact of Sewage Discharges on the Marine Environment with a Lightweight AUV
A Novel Approach for Defect Detection on Vessel Structures using Saliency-related Features
Seagoing vessels have to undergo regular visual inspections in order to detect defects such as cracks and corrosion before they result into catastrophic consequences. These inspections are currently performed manually by ship surveyors at a great cost, so that any...
Visual Discrimination and Large Area Mapping of Posidonia Oceanica Using a Lightweight AUV
Hacia la Navegación Visual de un Vehı́culo Autónomo Submarino en Areas con Posidonia Oceanica
Indistinguishability Operators Applied to Task Allocation Problems in Multi-Agent Systems
In this paper we show an application of indistinguishability operators to model response functions. Such functions are used in the mathematical modeling of the task allocation problem in multi-agent systems when the stimulus, perceived by the agent, to perform a task...