Výsledky vyhledávání - "Martina MAMMARELLA"

Akademický článek

3D Distance Filter for the Autonomous Navigation of UAVs in Agricultural Scenarios

Autor: Cesare Donati, Martina Mammarella, Lorenzo Comba, Alessandro Biglia, Paolo Gay, Fabrizio Dabbene

Publikováno v: Remote Sensing, Vol 14, Iss 6, p 1374 (2022)

In precision agriculture, remote sensing is an essential phase in assessing crop status and variability when considering both the spatial and the temporal dimensions. To this aim, the use of unmanned aerial vehicles (UAVs) is growing in popularity, a

Externí odkaz: https://doaj.org/article/faa738aa19144d838f09ca90c2e10eb6

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Fast Stochastic MPC Implementation via Policy Learning

Autor: Martina Mammarella, Abdulelah Altamimi, Mohammadreza Chamanbaz, Fabrizio Dabbene, Constantino Lagoa

Publikováno v: IEEE Control Systems Letters. 6:3020-3025

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::783be529d8a3218d5abb7bb60bbc398e
https://doi.org/10.1109/lcsys.2022.3182643

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Angle-Aware Coverage Control for 3-D Map Reconstruction With Drone Networks

Autor: Takumi Shimizu, Shunya Yamashita, Takeshi Hatanaka, Kuniaki Uto, Martina Mammarella, Fabrizio Dabbene

Publikováno v: IEEE Control Systems Letters (2021). doi:10.1109/LCSYS.2021.3135466
info:cnr-pdr/source/autori:Shimizu, T.; Yamashita, S.; Hatanaka, T.; Uto, K.; Mammarella, M.; Dabbene, F./titolo:Angle-Aware Coverage Control for 3-D Map Reconstruction with Drone Networks/doi:10.1109%2FLCSYS.2021.3135466/rivista:IEEE Control Systems Letters/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume

In this paper, we address environmental monitoring for 3-D map reconstruction using drone networks. In view of the fact that the 3-D reconstruction requires images from a variety of viewing angles, we first formulate a novel angle-aware coverage cont

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::135941adabf7bdfc952ac5cc17f5c57b
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100864830

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Experimental Study on Angle-aware Coverage Control with Application to 3-D Visual Map Reconstruction

Autor: Masaya Suenaga, Takumi Shimizu, Takeshi Hatanaka, Kuniaki Uto, Martina Mammarella, Fabrizio Dabbene

Publikováno v: 2022 IEEE Conference on Control Technology and Applications (CCTA).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::780f5b703aa281134dd9034c15b25adc
https://doi.org/10.1109/ccta49430.2022.9966065

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An Offline-Sampling SMPC Framework With Application to Autonomous Space Maneuvers

Autor: Marcello Romano, Giorgio Guglieri, Elisa Capello, Fabrizio Dabbene, Hyeongjun Park, Matthias Lorenzen, Frank Allgöwer, Martina Mammarella

Publikováno v: IEEE transactions on control systems technology
(2018): 1–15. doi:10.1109/TCST.2018.2879938
info:cnr-pdr/source/autori:M. Mammarella, M. Lorenzen, E. Capello, H. Park, F. Dabbene, G. Guglieri, M. Romano, F. Allgöwer/titolo:An Offline-Sampling SMPC Framework With Application to Autonomous Space Maneuvers/doi:10.1109%2FTCST.2018.2879938/rivista:IEEE transactions on control systems technology (Print)/anno:2018/pagina_da:1/pagina_a:15/intervallo_pagine:1–15/volume

In this paper, a sampling-based stochastic model predictive control (SMPC) algorithm is proposed for discrete- time linear systems subject to both parametric uncertainties and additive disturbances. One of the main drivers for the development of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c32e36ac00166f58c304a8c182efd4a
https://doi.org/10.1109/tcst.2018.2879938

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Chance-constrained sets approximation: A probabilistic scaling approach

Autor: Martina Mammarella, Victor Mirasierra, Matthias Lorenzen, Teodoro Alamo, Fabrizio Dabbene

Publikováno v: Automatica (Oxf.) 137 (2022): 1–13. doi:10.1016/j.automatica.2021.110108
info:cnr-pdr/source/autori:Martina Mammarella; Victor Mirasierra; Matthias Lorenzen; Teodoro Alamo; Fabrizio Dabbene/titolo:Chance-constrained sets approximation: A probabilistic scaling approach/doi:10.1016%2Fj.automatica.2021.110108/rivista:Automatica (Oxf.)/anno:2022/pagina_da:1/pagina_a:13/intervallo_pagine:1–13/volume:137
idUS. Depósito de Investigación de la Universidad de Sevilla
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In this paper, a sample-based procedure for obtaining simple and computable approximations of chance-constrained sets is proposed. The procedure allows to control the complexity of the approximating set, by defining families of simple-approximating s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc23bb210b218ba8450b44316cdf7dd5
https://publications.cnr.it/doc/461951

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3D Map Reconstruction of an Orchard using an Angle-Aware Covering Control Strategy

Autor: Martina Mammarella, Cesare Donati, Takumi Shimizu, Masaya Suenaga, Lorenzo Comba, Alessandro Biglia, Kuniaki Uto, Takeshi Hatanaka, Paolo Gay, Fabrizio Dabbene

In the last years, unmanned aerial vehicles are becoming a reality in the context of precision agriculture, mainly for monitoring, patrolling and remote sensing tasks, but also for 3D map reconstruction. In this paper, we present an innovative approa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04742dd4b1ef35092a096b1332f43e74
https://hdl.handle.net/11583/2975538

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Improving agricultural drone localization using georeferenced low-complexity maps

Autor: Cesare Donati, Martina Mammarella, Lorenzo Comba, Alessandro Biglia, Fabrizio Dabbene, Paolo Gay

Publikováno v: 2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), Trento/Bolzano, Italy, 3-5/11/2021
info:cnr-pdr/source/autori:Donati Cesare; Mammarella Martina; Comba Lorenzo; Biglia Alessandro; Dabbene Fabrizio; Gay Paolo/congresso_nome:2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)/congresso_luogo:Trento%2FBolzano, Italy/congresso_data:3-5%2F11%2F2021/anno:2021/pagina_da:/pagina_a:/intervallo_pagine

To properly locate and operate autonomous vehicles for in-field tasks, the knowledge of their instantaneous position needs to be combined with an accurate spatial description of their environment. In agricultural fields, when operating inside the cro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::673840327c5d9a9483d4a049e68c5335
https://doi.org/10.1109/metroagrifor52389.2021.9628607

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Attitude Control of a Small Spacecraft via Tube-Based Model Predictive Control

Autor: Giorgio Guglieri, Elisa Capello, Martina Mammarella, Dae Young Lee, Hyeongjun Park, Matteo Dentis

Publikováno v: Journal of Spacecraft and Rockets. 56:1662-1679

Precise attitude tracking control of small satellites is a demanding task due to the limited hardware resources of sensors, actuators, and processors equipped on board. Moreover, the effects of mod...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0feb26ec826f70e9cbba4723b862c0ea
https://doi.org/10.2514/1.a34394

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How the Lunar Space Tug can support the cislunar station

Autor: Pietro Maria Vernicari, Nicole Viola, Christopher Andrea Paissoni, Martina Mammarella

Publikováno v: Acta Astronautica. 154:181-194

The Lunar Space Tug is a sustainable transportation system able to rendezvous with a target body in Low Earth Orbits environment, assess its current position, attitude and operational status, capture the target and move it to the Cislunar space where

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24b6e20891a021f942cb3c0243e1592e
https://doi.org/10.1016/j.actaastro.2018.04.032

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