Mostrar o rexistro simple do ítem

dc.contributor.authorFiguero, A.
dc.contributor.authorRodríguez, Álvaro
dc.contributor.authorPeña González, Enrique
dc.contributor.authorSande, José
dc.contributor.authorRabuñal, Juan R.
dc.date.accessioned2024-01-15T11:14:44Z
dc.date.available2024-01-15T11:14:44Z
dc.date.issued2018
dc.identifier.citationFiguero, Andres; Rodriguez, Alvaro; Sande, Jose; Peña, Enrique; and Rabuñal, Juan R (2018) "DYNAMICAL STUDY OF A MOORED VESSEL USING COMPUTER VISION," Journal of Marine Science and Technology: Vol. 26: Iss. 2, Article 11. DOI: 10.6119/JMST.2018.04_(2).0011 Available at: https://jmstt.ntou.edu.tw/journal/vol26/iss2/11es_ES
dc.identifier.issn0948-4280
dc.identifier.issn1437-8213
dc.identifier.urihttp://hdl.handle.net/2183/34903
dc.description.abstract[Abstract]: Wind and wave effects have a major impact on the design of mooring and anchoring systems, whose purpose is to prevent the movement of the cargo and the moored ship while optimizing the operations which have to take place in port. The dynamic behavior of a ship moored in waves has been mathematically described and interactions between ships and environmental loads have been commonly tested for different docks and mooring systems in scale models. However, the behavior of real ships in true mooring conditions has not been properly addressed in scientific literature. This paper proposes a novel computer vision technique to monitor moored ships. This approach uses the correlation of visual features in the images of the ship to estimate its movements along time. The proposed technique has been validated in laboratory conditions and applied in a real scenario to study the behavior of the ship Urania Mella in the Outer Port of A Coruña (Spain), in Punta Langosteira, obtaining very promising results.es_ES
dc.description.sponsorshipThe authors wish to thank the Port Authority of A Coruña, Aquática Ingeniería Civil and Siport21 for their cooperation and technical assistance, and the Urania Mella owners and crew for the facilities on board. The development of the artificial vision algorithm was partially funded by FEDER funds and Spanish Ministry of Economy, Industry and Competitiveness, R & D National Plan, within the projects CGL2012-34688 and BIA2017- 86738-R.es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2012-34688/ES/ANALISIS DE LA EFICIENCIA DE LAS ESCALAS DE PECES DE HENDIDURA VERTICAL MEDIANTE TECNICAS MEJORADAS DE VISION ARTIFICIAL CON INTELIGENCIA ARTIFICIAL/es_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/BIA2017-86738-R/ES/SISTEMA PARA LA OPTIMIZACION DE LA OPERATIVIDAD PORTUARIA MEDIANTE EL ANALISIS DINAMICO DE BUQUE AMARRADO Y CLIMA MARITIMO, CON TRABAJO DE CAMPO Y ENSAYOS EN MODELO FISICOes_ES
dc.relation.urihttps://doi.org/10.6119/JMST.2018.04_(2).0011es_ES
dc.rightsAtribución 4.0 Internacionales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectComputer visiones_ES
dc.subjectMooringes_ES
dc.subjectShip motionses_ES
dc.subjectBlock matchinges_ES
dc.titleDynamical Study of a Moored Vessel Using Computer Visiones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleJournal of Marine Science and Technologyes_ES
UDC.volume26es_ES
UDC.issue2es_ES
UDC.startPage240es_ES
UDC.endPage250es_ES
dc.identifier.doi10.6119/JMST.2018.04_(2).0011


Ficheiros no ítem

Thumbnail
Thumbnail

Este ítem aparece na(s) seguinte(s) colección(s)

Mostrar o rexistro simple do ítem