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MANAGING THE OCEANS CLEANUP VIA SEA CURRENT ANALYSIS AND BIO-INSPIRED COORDINATION OF USV SWARMS. / Monaco, Manilo; Cimino, Mario G.C.A.; Vaglini, Gigliola; Fusai, Francesco; Nico, Giovanni.

International Geoscience and Remote Sensing Symposium (IGARSS). 2021. стр. 8344-8347.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Monaco, M, Cimino, MGCA, Vaglini, G, Fusai, F & Nico, G 2021, MANAGING THE OCEANS CLEANUP VIA SEA CURRENT ANALYSIS AND BIO-INSPIRED COORDINATION OF USV SWARMS. в International Geoscience and Remote Sensing Symposium (IGARSS). стр. 8344-8347, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Бельгия, 11/07/21. https://doi.org/10.1109/IGARSS47720.2021.9554926

APA

Monaco, M., Cimino, M. G. C. A., Vaglini, G., Fusai, F., & Nico, G. (2021). MANAGING THE OCEANS CLEANUP VIA SEA CURRENT ANALYSIS AND BIO-INSPIRED COORDINATION OF USV SWARMS. в International Geoscience and Remote Sensing Symposium (IGARSS) (стр. 8344-8347) https://doi.org/10.1109/IGARSS47720.2021.9554926

Vancouver

Monaco M, Cimino MGCA, Vaglini G, Fusai F, Nico G. MANAGING THE OCEANS CLEANUP VIA SEA CURRENT ANALYSIS AND BIO-INSPIRED COORDINATION OF USV SWARMS. в International Geoscience and Remote Sensing Symposium (IGARSS). 2021. стр. 8344-8347 https://doi.org/10.1109/IGARSS47720.2021.9554926

Author

Monaco, Manilo ; Cimino, Mario G.C.A. ; Vaglini, Gigliola ; Fusai, Francesco ; Nico, Giovanni. / MANAGING THE OCEANS CLEANUP VIA SEA CURRENT ANALYSIS AND BIO-INSPIRED COORDINATION OF USV SWARMS. International Geoscience and Remote Sensing Symposium (IGARSS). 2021. стр. 8344-8347

BibTeX

@inproceedings{b151afb9001d41f1a5a6256baa0979ad,
title = "MANAGING THE OCEANS CLEANUP VIA SEA CURRENT ANALYSIS AND BIO-INSPIRED COORDINATION OF USV SWARMS",
abstract = "This work presents the results of a simulated analysis concerning algorithms of self-coordination of a swarm of Unmanned Surface Vehicles (USV) for the mitigation of plastic pollution in oceans. The analysis is based on real scenarios provided by the Copernicus Marine Service. The scenario includes the localization of plastics on the sea surface and their movement in time based on the sea surface currents. A swarm intelligence algorithm is used for the decentralized coordination of the USV swarm. Results are presented on a study area located in the northern Tyrrhenian sea between Corsica and the Tuscan coast, in the period of July 2016.",
keywords = "evolutionary optimization, plastic pollution, sea, Swarm intelligence, Unmanned Surface Vehicles",
author = "Manilo Monaco and Cimino, {Mario G.C.A.} and Gigliola Vaglini and Francesco Fusai and Giovanni Nico",
year = "2021",
month = jan,
day = "1",
doi = "10.1109/IGARSS47720.2021.9554926",
language = "English",
pages = "8344--8347",
booktitle = "International Geoscience and Remote Sensing Symposium (IGARSS)",
note = " 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS ; Conference date: 11-07-2021 Through 16-07-2021",

}

RIS

TY - GEN

T1 - MANAGING THE OCEANS CLEANUP VIA SEA CURRENT ANALYSIS AND BIO-INSPIRED COORDINATION OF USV SWARMS

AU - Monaco, Manilo

AU - Cimino, Mario G.C.A.

AU - Vaglini, Gigliola

AU - Fusai, Francesco

AU - Nico, Giovanni

PY - 2021/1/1

Y1 - 2021/1/1

N2 - This work presents the results of a simulated analysis concerning algorithms of self-coordination of a swarm of Unmanned Surface Vehicles (USV) for the mitigation of plastic pollution in oceans. The analysis is based on real scenarios provided by the Copernicus Marine Service. The scenario includes the localization of plastics on the sea surface and their movement in time based on the sea surface currents. A swarm intelligence algorithm is used for the decentralized coordination of the USV swarm. Results are presented on a study area located in the northern Tyrrhenian sea between Corsica and the Tuscan coast, in the period of July 2016.

AB - This work presents the results of a simulated analysis concerning algorithms of self-coordination of a swarm of Unmanned Surface Vehicles (USV) for the mitigation of plastic pollution in oceans. The analysis is based on real scenarios provided by the Copernicus Marine Service. The scenario includes the localization of plastics on the sea surface and their movement in time based on the sea surface currents. A swarm intelligence algorithm is used for the decentralized coordination of the USV swarm. Results are presented on a study area located in the northern Tyrrhenian sea between Corsica and the Tuscan coast, in the period of July 2016.

KW - evolutionary optimization

KW - plastic pollution

KW - sea

KW - Swarm intelligence

KW - Unmanned Surface Vehicles

UR - http://www.scopus.com/inward/record.url?scp=85129785544&partnerID=8YFLogxK

U2 - 10.1109/IGARSS47720.2021.9554926

DO - 10.1109/IGARSS47720.2021.9554926

M3 - Conference contribution

AN - SCOPUS:85129785544

SP - 8344

EP - 8347

BT - International Geoscience and Remote Sensing Symposium (IGARSS)

T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

Y2 - 11 July 2021 through 16 July 2021

ER -

ID: 114329614