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Dynamical Study of a Moored Vessel Using Computer Vision
dc.contributor.author | Figuero, A. | |
dc.contributor.author | Rodríguez, Álvaro | |
dc.contributor.author | Peña González, Enrique | |
dc.contributor.author | Sande, José | |
dc.contributor.author | Rabuñal, Juan R. | |
dc.date.accessioned | 2024-01-15T11:14:44Z | |
dc.date.available | 2024-01-15T11:14:44Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Figuero, 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/iss2/11 | es_ES |
dc.identifier.issn | 0948-4280 | |
dc.identifier.issn | 1437-8213 | |
dc.identifier.uri | http://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.sponsorship | The 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.iso | eng | es_ES |
dc.publisher | Springer | es_ES |
dc.relation | info: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.relation | info: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 FISICO | es_ES |
dc.relation.uri | https://doi.org/10.6119/JMST.2018.04_(2).0011 | es_ES |
dc.rights | Atribución 4.0 Internacional | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | Computer vision | es_ES |
dc.subject | Mooring | es_ES |
dc.subject | Ship motions | es_ES |
dc.subject | Block matching | es_ES |
dc.title | Dynamical Study of a Moored Vessel Using Computer Vision | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Journal of Marine Science and Technology | es_ES |
UDC.volume | 26 | es_ES |
UDC.issue | 2 | es_ES |
UDC.startPage | 240 | es_ES |
UDC.endPage | 250 | es_ES |
dc.identifier.doi | 10.6119/JMST.2018.04_(2).0011 |
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