Title
Primena inteligentnih sistema mašinske vizije autonomnog upravljanja železničkim vozilima
Creator
Pavlović, Milan G. 1986-
Copyright date
2020
Object Links
Select license
Autorstvo-Nekomercijalno-Bez prerade 3.0 Srbija (CC BY-NC-ND 3.0)
License description
Dozvoljavate samo preuzimanje i distribuciju dela, ako/dok se pravilno naznačava ime autora, bez ikakvih promena dela i bez prava komercijalnog korišćenja dela. Ova licenca je najstroža CC licenca. Osnovni opis Licence: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/deed.sr_LATN. Sadržaj ugovora u celini: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/legalcode.sr-Latn
Language
Serbian
Cobiss-ID
Theses Type
Doktorska disertacija
description
Datum odbrane: 28.09.2020.
Other responsibilities
mentor
Nikolić, Vlastimir 1954-
član komisije
Ćirić, Ivan
član komisije
Antić, Dragan
član komisije
Stamenković, Dušan
član komisije
Simonović, Miloš
Academic Expertise
Prirodno-matematičke nauke
Academic Title
-
University
Univerzitet u Nišu
Faculty
Mašinski fakultet
Group
Katedra za mašinske konstrukcije, razvoj i inženjering
Alternative title
Application of intelligent machine vision systems for autonomous train operation
Publisher
[M. G. Pavlović]
Format
248 listova
description
Bibliografija: listovi 213-237.
description
Control Systems and Robotics
Abstract (en)
The railway is an important type of transport and has a significant
economic impact on the industry and people's everyday life. Due
to its capacities and complex infrastructure, it is necessary to work
on its constant development and improvement. Railway
automation requires the use of intelligent systems as a necessary
part of an autonomous railway vehicle. As from the point of view
of safe traffic, the existence of the object on the rail track and / or
in its vicinity represents a potential obstacle to the railway traffic,
and visibility has a very important role in correct and timely
detection of the object on the railway infrastructure, a key element
of autonomous railway vehicle is an obstacle detection system on
the part of the railway infrastructure, in conditions of reduced
visibility.
The subject of scientific research of this doctoral dissertation is the
application of intelligent machine vision systems in autonomous
train operation. For the purpose of detecting obstacles on the part
of the railway infrastructure in conditions of reduced visibility, a
thermal imaging camera and a night vision system are integrated
into the system, coupled with a developed advanced algorithm for
image processing with artificial intelligence tools. In addition, the
distance from the machine vision system to the detected object
was estimated. The operation of the system was tested in a series
of field experiments, at different locations, in different visibility
conditions and weather conditions, through realistic scenarios.
Authors Key words
Mašinska vizija, uslovi smanjene vidljivosti, detekcija, ocena
rastojanja, autonomno upravljanje železničkim vozilom
Authors Key words
Machine vision, reduced visibility conditions, detection, distance
estimation, autonomous train operation
Classification
656.2.052.5:007.52(043.3)
Subject
T125
Type
Tekst
Abstract (en)
The railway is an important type of transport and has a significant
economic impact on the industry and people's everyday life. Due
to its capacities and complex infrastructure, it is necessary to work
on its constant development and improvement. Railway
automation requires the use of intelligent systems as a necessary
part of an autonomous railway vehicle. As from the point of view
of safe traffic, the existence of the object on the rail track and / or
in its vicinity represents a potential obstacle to the railway traffic,
and visibility has a very important role in correct and timely
detection of the object on the railway infrastructure, a key element
of autonomous railway vehicle is an obstacle detection system on
the part of the railway infrastructure, in conditions of reduced
visibility.
The subject of scientific research of this doctoral dissertation is the
application of intelligent machine vision systems in autonomous
train operation. For the purpose of detecting obstacles on the part
of the railway infrastructure in conditions of reduced visibility, a
thermal imaging camera and a night vision system are integrated
into the system, coupled with a developed advanced algorithm for
image processing with artificial intelligence tools. In addition, the
distance from the machine vision system to the detected object
was estimated. The operation of the system was tested in a series
of field experiments, at different locations, in different visibility
conditions and weather conditions, through realistic scenarios.
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