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dc.date.accessioned2022-04-22T05:52:58Z-
dc.date.available2022-04-22T05:52:58Z-
dc.date.issued2009-
dc.identifier.citationBorg, P. (2009). Marine navigational lights recognition (Bachelor's dissertation).en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/94179-
dc.descriptionB.Sc. IT (Hons)(Melit.)en_GB
dc.description.abstractThe amount of research relating to intelligent marine vessel systems is little compared to that related to computer vision based vehicles. Leisure vessels are equipped with autopilot systems and GPS tracking devices which are commonly used to promote marine safety. The basic form of a marine anti-collision device is the radar application which signals possible danger zones to the mariner, however, this does not identify the source, nor does it suggest any alternative maneuvers to overcome these dangers. In order to provide marine safety at night, every vessel is required to display a set of navigational lights which are used to raise awareness of the vessel's nature and action to neighbouring vessels. It is in this way that other vessels are able to be cautioned of any possible dangers which lie within their vicinity. The set of lights are distinguished by a trained mariner who possesses the knowledge of navigational light representation. The trained mariner is able to maneuver the vessel according to established marine navigational rules in order to avoid collision with other vessels. Besides being on the look out for other vessels which might place the mariner in danger, one must also be aware of fixed buoy markers which are used to signal danger zones. They also suggest trajectories and safe water navigational paths. These buoys can be distinguished by the continuous strobing pattern and the colour of light which they emit. In this dissertation, we explore the field of marine based computer vision and we introduce the evolvement of marine navigational lights recognition by developing an application which is able to recognize simulated vessel lighting systems and buoy marker detections. Through the use of a simulated onboard imaging device, the system will be able to capture a video feed which with the use of image processing techniques and template objects, will be capable of detecting and recognizing marine objects. Based on the recognition of the vessels and buoys, the application will suggest the required maneuver according to the highest ranked alert in order to avoid collisions with other vessels and to keep away from danger zones.en_GB
dc.language.isoenen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectShipsen_GB
dc.subjectNavigationen_GB
dc.subjectGlobal Positioning Systemen_GB
dc.subjectComputer visionen_GB
dc.titleMarine navigational lights recognitionen_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 Computer Scienceen_GB
dc.description.reviewedN/Aen_GB
dc.contributor.creatorBorg, Peter (2009)-
Appears in Collections:Dissertations - FacICT - 1999-2009
Dissertations - FacICTCS - 2009

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