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Title:
Development of an open-source framework for automatic alignment of KORUZA free-space optical communication system : magistrsko delo
Authors:
ID
Klemenčič, Nejc
(
Author
)
ID
Potočnik, Božidar
(
Mentor
)
More about this mentor...
ID
Milivojević, Vojislav
(
Comentor
)
Files:
MAG_Klemencic_Nejc_2022.pdf
(4,68 MB)
MD5: 281EFD62401BBEFFD1BDD9B07A507CAE
PID:
20.500.12556/dkum/2fb04b42-40fd-47a4-a03b-1315c95009b0
Language:
English
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
This thesis aims to implement an open-source framework for the automatic alignment and tracking of the KORUZA v2 Pro free-space optical solution. Free-space optical systems are explored and current optical alignment and tracking solutions are analyzed. We use Neural Network-based object detection approaches to complement the essential collection of framework functionality. We train a Neural Network to detect KORUZA v2 Pro units with data gathered from currently deployed links. The out-of-the-box solution for automatic alignment and tracking can be freely modified and extended.
Keywords:
free-space optics
,
automatic alignment
,
neural networks
,
object detection
,
open-source framework
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[N. Klemenčič]
Year of publishing:
2022
Number of pages:
1 spletni vir (1 datoteka PDF (XVII, 113 f.))
PID:
20.500.12556/DKUM-81107
UDC:
004.7.057.8(043.2)
COBISS.SI-ID:
103240195
Publication date in DKUM:
14.03.2022
Views:
971
Downloads:
109
Metadata:
Categories:
KTFMB - FERI
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Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
09.01.2022
Secondary language
Language:
Slovenian
Title:
Razvoj odprtokodnega ogrodja za samodejno poravnavo prostozračnega optičnega komunikacijskega sistema KORUZA
Abstract:
V sklopu magistrskega dela zasnujemo in implementiramo odprtokodno ogrodje za avtomatsko poravnavo in spremljanje prostozračnega optičnega komunikacijskega sistema KORUZA v2 Pro. Raziščemo in opišemo prostozračne optične komunikacijske sisteme in obstoječe rešitve za avtomatsko poravnavo in sledenje žarka, uporabljene v takih sistemih. Zasnovano ogrodje za avtomatsko poravnavo nadgradimo z uporabo nevronskih mrež za zaznavo objektov. Nevronske mreže naučimo razpoznati enote KORUZA v2 Pro s pomočjo podatkov zbranih iz enot, postavljenih na terenu.
Keywords:
prostozračni komunikacijski sistemi
,
samodejna poravnava
,
nevronske mreže
,
zaznava objektov
,
odprtokodno ogrodje
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