Výsledky vyhledávání - "RUSSO, Luigi"

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SEN12-WATER: A New Dataset for Hydrological Applications and its Benchmarking

Autor: Russo, Luigi, Mauro, Francesco, Sebastianelli, Alessandro, Gamba, Paolo, Ullo, Silvia Liberata

Climate change and increasing droughts pose significant challenges to water resource management around the world. These problems lead to severe water shortages that threaten ecosystems, agriculture, and human communities. To advance the fight against

Externí odkaz: http://arxiv.org/abs/2409.17087

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Using Multi-Temporal Sentinel-1 and Sentinel-2 data for water bodies mapping

Autor: Russo, Luigi, Mauro, Francesco, Memar, Babak, Sebastianelli, Alessandro, Gamba, Paolo, Ullo, Silvia Liberata

Climate change is intensifying extreme weather events, causing both water scarcity and severe rainfall unpredictability, and posing threats to sustainable development, biodiversity, and access to water and sanitation. This paper aims to provide valua

Externí odkaz: http://arxiv.org/abs/2402.00023

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Estimation of Ground NO2 Measurements from Sentinel-5P Tropospheric Data through Categorical Boosting

Autor: Mauro, Francesco, Russo, Luigi, Janku, Fjoralba, Sebastianelli, Alessandro, Ullo, Silvia Liberata

This study aims to analyse the Nitrogen Dioxide (NO2) pollution in the Emilia Romagna Region (Northern Italy) during 2019, with the help of satellite retrievals from the Sentinel-5P mission of the European Copernicus Programme and ground-based measur

Externí odkaz: http://arxiv.org/abs/2304.04069

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Learning for Online Mixed-Integer Model Predictive Control with Parametric Optimality Certificates

Autor: Russo, Luigi, Nair, Siddharth H., Glielmo, Luigi, Borrelli, Francesco

We propose a supervised learning framework for computing solutions of multi-parametric Mixed Integer Linear Programs (MILPs) that arise in Model Predictive Control. Our approach also quantifies sub-optimality for the computed solutions. Inspired by B

Externí odkaz: http://arxiv.org/abs/2303.12152

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A Vision-Based Algorithm for a Path Following Problem

Autor: Terlizzi, Mario, Silano, Giuseppe, Russo, Luigi, Aatif, Muhammad, Basiri, Amin, Mariani, Valerio, Iannelli, Luigi, Glielmo, Luigi

Publikováno v: 2021 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 1630-1635, June, 2021, Athens, Greece

A novel prize-winner algorithm designed for a path following problem within the Unmanned Aerial Vehicle (UAV) field is presented in this paper. The proposed approach exploits the advantages offered by the pure pursuing algorithm to set up an intuitiv

Externí odkaz: http://arxiv.org/abs/2302.04742

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