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dc.date.accessioned2018-11-08T08:54:30Z-
dc.date.available2018-11-08T08:54:30Z-
dc.date.issued2018-
dc.identifier.citationSammut, J. (2018). ADRIFT: autonomous navigation (Bachelor's dissertation).en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/35914-
dc.descriptionB.SC.ICT(HONS)ARTIFICIAL INTELLIGENCEen_GB
dc.description.abstractAn estimated 75%-96% of marine accident are accounted to be directly linked to human negligence[green1, green2]. This figure, along with the steady increase of vessel collisions over the years, has caused a rise in interest in autonomous navigation in relation to marine life. This proposal aims to shed light on some of the current technologies being researched within the relevant field. The COLREGs are a set of maritime laws which must be appropriately obeyed in order to safely prevent collision at sea[green3]. The regulations are split into various categories, depending on the type of scenario between two vessels in a current space. In most scenarios, one of the vessel is designated as the Give Way vessel, while is the other is given the role of a Stand On vessel. The Give Way vessel must take appropriate action in order to steer clear of the Stand On one, which must maintain its current course, unless the Give Way vessel fails to take action. A system was proposed in order to showcase a vessel with autonomous capabilities when confronted with various collision scenarios. The system consisted of a simulator, in order to visualize the vessels' journeys. The outputs relating to the collision avoidance actions were calculated using a Fuzzy Inference System, which proved to be popular amongst recent literatures. Results relating to the system proved to be very promising, with a number of test cases relating to different scenarios, as showcased in the COLREGs rules and regulations, being evaluated. The successful functioning of the system justifies the use of the Fuzzy Logic approach utilized for the decision-making component of the software.en_GB
dc.language.isoenen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectCollisions at sea -- Preventionen_GB
dc.subjectRule of the road at seaen_GB
dc.subjectFuzzy logicen_GB
dc.subjectVehicles -- Automatic controlen_GB
dc.titleADRIFT : autonomous navigationen_GB
dc.typebachelorThesisen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.publisher.institutionUniversity of Maltaen_GB
dc.publisher.departmentFaculty of Information and Communication Technology. Department of Artificial Intelligenceen_GB
dc.description.reviewedN/Aen_GB
dc.contributor.creatorSammut, Jordan-
Appears in Collections:Dissertations - FacICT - 2018
Dissertations - FacICTAI - 2018

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