Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
|
|
SLO
|
ENG
|
Cookies and privacy
DKUM
EPF - Faculty of Business and Economics
FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
FF - Faculty of Arts
FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
FKBV - Faculty of Agriculture and Life Sciences
FKKT - Faculty of Chemistry and Chemical Engineering
FL - Faculty of Logistic
FNM - Faculty of Natural Sciences and Mathematics
FOV - Faculty of Organizational Sciences in Kranj
FS - Faculty of Mechanical Engineering
FT - Faculty of Tourism
FVV - Faculty of Criminal Justice and Security
FZV - Faculty of Health Sciences
MF - Faculty of Medicine
PEF - Faculty of Education
PF - Faculty of Law
UKM - University of Maribor Library
UM - University of Maribor
UZUM - University of Maribor Press
COBISS
Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
Faculty of Organizational Sciences, Kranj
Faculty of Criminal Justice and Security, Ljubljana
Faculty of Health Sciences
Library of Technical Faculties, Maribor
Faculty of Medicine, Maribor
Miklošič Library FPNM, Maribor
Faculty of Law, Maribor
University of Maribor Library
Bigger font
|
Smaller font
Introduction
Search
Browsing
Upload document
Statistics
Login
First page
>
Show document
Show document
Title:
POZICIONIRANJE V ZAPRTIH PROSTORIH S POMOČJO PLATFORME RASPBERRY PI IN ANDROID
Authors:
ID
Hudrap, Andrej
(
Author
)
ID
Kosar, Tomaž
(
Mentor
)
More about this mentor...
Files:
VS_Hudrap_Andrej_2016.pdf
(2,36 MB)
MD5: 20BE09CE85CA1F90A81F05C8BADFB4A3
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V diplomskem delu smo raziskali pristope in implementirali sistem za pozicioniranje za prikaz znamenitosti. V delu smo podrobneje spoznali in opisali najpopularnejše senzorske tehnologije in pristope, ki se uporabljajo pri določanju lokacij v zaprtih prostorih. Opisali smo implementacijo strežnika in izgradnjo mobilne aplikacije ter opravili analizo sistema in podali predloge izboljšav.
Keywords:
Pozicioniranje v zaprtih prostorih
,
Raspberry Pi
,
Node.js
,
Android
,
Vzorčenje Wifi signalov
,
Trilateracija
Place of publishing:
[Maribor
Publisher:
A. Hudrap
Year of publishing:
2016
PID:
20.500.12556/DKUM-63260
UDC:
681.883.43043.2)
COBISS.SI-ID:
20076310
NUK URN:
URN:SI:UM:DK:TIJUMGNJ
Publication date in DKUM:
22.09.2016
Views:
1868
Downloads:
158
Metadata:
Categories:
KTFMB - FERI
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Average score:
(0 votes)
Your score:
Voting is allowed only for
logged in
users.
Share:
Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Secondary language
Language:
English
Title:
INDOOR POSITIONING USING RASPBERRY PI AND ANDROID
Abstract:
In this diploma thesis we have studied and implemented an indoor positioning system. We study and describe popular sensor technologies and methods that are being used for indoor positioning. We describe our implementation of our server and our mobile application and analyze our indoor positioning system and propose some improvements.
Keywords:
Indoor positioning
,
Raspberry Pi
,
Node.js
,
Android
,
Wifi fingerprinting
,
Trilateration
Comments
Leave comment
You must
log in
to leave a comment.
Comments (0)
0 - 0 / 0
There are no comments!
Back
