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dc.date.accessioned2022-05-11T12:27:39Z-
dc.date.available2022-05-11T12:27:39Z-
dc.date.issued2012-
dc.identifier.citationZarb, G. (2012). Markerless localisation and path planning for the visually impaired (Bachelor's dissertation).en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/95517-
dc.descriptionB.SC.ICT(HONS)ARTIFICIAL INTELLIGENCEen_GB
dc.description.abstractA substantial number of people are affected in various ways by visual impairments, most of which have no effective cure. Visually impaired people are presented with a challenging task when navigating through unfamiliar areas, and must depend on additional aids, namely, guide dogs, and any assistance provided by sighted people, thus limiting their independence and privacy. The goal of this study is to exploit the advantages of robust hardware, portability and widespread use of mobile devices to provide a means of guidance to the visually impaired in unfamiliar areas. With the aid of ongoing research being done in the area of computer vision technology, the proposed system will aid the user in identifying the location of the whereabouts while also providing navigation commands to arrive at the desired destination. The prototype was implemented using the client-server architecture, where the server implements both the place recognition module and the path planning module while the client acts as a peripheral device. The evaluation carried out on the implemented prototype gave satisfying results with the place recognition module having a high percentage in both the recall rate and precision. Both the place recognition module and the path planning module returned results in a relatively short period of time.en_GB
dc.language.isoenen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectPeople with disabilities -- Maltaen_GB
dc.subjectMobile appsen_GB
dc.subjectComputer visionen_GB
dc.titleMarkerless localisation and path planning for the visually impaireden_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.creatorZarb, Glenn (2012)-
Appears in Collections:Dissertations - FacICT - 2012
Dissertations - FacICTAI - 2002-2014

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