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dc.contributor.advisorKıanı, Farzad
dc.contributor.authorGunagwera, Alex
dc.date.accessioned2021-05-08T07:31:22Z
dc.date.available2021-05-08T07:31:22Z
dc.date.submitted2017
dc.date.issued2019-12-11
dc.identifier.urihttps://acikbilim.yok.gov.tr/handle/20.500.12812/630784
dc.description.abstractMobil cihazların hızla gelişmesine ve iç mekân tabanlı servislerin kapsamlı uygulanabilirliğine rağmen kapalı alan navigasyon sistemi hala bir zor görevdir. Ucuz ama yeterince hassas bir iç mekan navigasyon sistemi oluşturmak çok zordur. Bu çalışmada, düşük maliyetli ve bağlama duyarlı bir kapalı alan navigasyon sistemi teklif edildi. Bu sistem, hibrit fingerprinting ve dead-reckoning yöntemleri kullanıyor. Bu sistem, bütün kullanıcılar için - görme özürlülere veya bedensel engellilere bile- uygundur. Bu sistem üç ana bölümden oluşmaktadır; kullanıcı takibi, bağlam-duyarlı en uygun rota hesaplama ve dinamik yol gösterimi. Sistemin üst tabanı 0.8-1.3 metre ortalamasıyla 2 metredir. Kullanıcıların tek ihtiyaçları akıllı telefondur.
dc.description.abstractDespite the rapid improvement in mobile devices, overall gradual growth in the ubiquitous computing field, the wide applicability, more usefulness of location based services in general and indoor navigation, in particular, building a sufficiently accurate, efficient and relatively cheap indoor navigation system in a GPS-free environment is still a challenging task with a lot of tradeoffs and constraints to put into consideration. In this study a simple yet robust, low-cost, context-aware user-interactive, user-friendly hybrid of finger-printing and dead-reckoning indoor navigation system suitable for both the visually impaired and the physically disable as well that takes advantage of the results yielded by sensor fusion is proposed. The presented system is also designed to allow for efficient evacuation of users in cases of emergences. The prototype is made majorly of the following parts; user tracking, optimal, context-aware and dynamic route calculation and planning and dynamic route representation with an upper bound of 2m and an average of 0.8-1.3m accuracy. All that is required from the user is a smart phone without installation of extra hardware.en_US
dc.languageEnglish
dc.language.isoen
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution 4.0 United Statestr_TR
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectBilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontroltr_TR
dc.subjectComputer Engineering and Computer Science and Controlen_US
dc.titleAkıllı bina: Bina içi ve akıllı yol bulma
dc.title.alternativeSmart building: A low cost indoor positioning and intelligent path finding
dc.typemasterThesis
dc.date.updated2019-12-11
dc.contributor.departmentBilgisayar Bilimleri ve Mühendisliği Ana Bilim Dalı
dc.identifier.yokid10172168
dc.publisher.instituteFen Bilimleri Enstitüsü
dc.publisher.universityİSTANBUL SABAHATTİN ZAİM ÜNİVERSİTESİ
dc.identifier.thesisid489611
dc.description.pages69
dc.publisher.disciplineDiğer


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