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Title:Navidezni vodič po zgradbi
Authors:Polanec, Mihael (Author)
Potočnik, Božidar (Mentor) More about this mentor... New window
Files:.pdf VS_Polanec_Mihael_2015.pdf (3,34 MB)
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo prikazali razvoj mobilne aplikacije za navigiranje po prostoru, imenovane „Navidezni vodič po zgradbi“. Aplikacija je razvita za platformo Android. Omogoča določitev trenutne lokacije uporabnika v prostoru, izbiro destinacije in izračun najkrajše poti med dvema točkama. Za lažjo orientacijo uporabnika aplikacija sledi gibanju uporabnika po prostoru in preverja, ali se giba v pravo smer. Če zazna gibanje v napačno smer, ga na to najprej opozori, nato pa izračuna novo najkrajšo pot do cilja. Predstavili in opisali smo kode QR, Kalmanov filter, Dijkstrin algoritem za iskanje najkrajše poti, števec korakov, mobilni telefon in senzorje, ki so nam na voljo. Delovanje aplikacije smo preverili na objektu G2 Fakultete za elektrotehniko, računalništvo in informatiko. Teste smo izvajali tako, da smo izbrali začetno in končno točko, preverili, kako natančno se je izračunala najkrajša pot, nato pa smo to pot obhodili. Dobljeni rezultati so pokazali, da je bila najkrajša pot izračunana natančno, manjše nenatančnosti pa smo ugotovili pri sledenju uporabniku.
Keywords:mobilna aplikacija, operacijski sistem Android, Kalmanov filter, Dijkstrov algoritem, koda QR, navigacija
Year of publishing:2015
Publisher:M. Polanec
Source:[Maribor
UDC:004.946:69.032.2(043.2)
COBISS_ID:19093526 Link is opened in a new window
NUK URN:URN:SI:UM:DK:GEE8NJJG
Views:714
Downloads:78
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:Virtual guide through building
Abstract:In the thesis, we demonstrated the development of a mobile application for indoor navigation called „Virtual guide through a building“. The application is developed for the Android platform. It allows the user to determine his current location in the room, choose a destination and calculate the shortest route between two points. For the user's better orientation, the application follows his movement in the room and checks, whether he is moving in the right direction. If is detects moving in the wrong direction, it warns the user and then recalculates the shortest route to his destination. We presented and described the QR code, the Kalman filter, and the Dijkstra's algorithm for finding the shortest route, a pedometer, a cell phone and sensors that are available to us. We checked the application performance on the building G2 of the Faculty of Electrical Engineering and Computer Science. Tests were carried out in such a way that we have chosen the start and end point, checked how accurately the shortest route was calculated, and then we have walked around this route. The results showed that the shortest route was calculated accurately, but slight inaccuracies were found in tracing the user.
Keywords:mobile application, Android operating system, Kalman filter, Dijkstra's algorithm, QR code, navigation


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