o:1681 Primena inteligentnih sistema mašinske vizije autonomnog upravljanja železničkim vozilima Application of intelligent machine vision systems for autonomous train operation : doctoral dissertation sr 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. Bibliografija: listovi 213-237. Datum odbrane: 28.09.2020. Control Systems and Robotics 25074185 91552101 7963 91552100 25074185 2021-03-02T17:37:49.053Z 45 no 46 mentor Milan G. 1986- Pavlović 2020 63 mentor Vlastimir 1954- Nikolić 2020 63 član komisije Ivan Ćirić 2020 63 član komisije Dragan Antić 2020 63 član komisije Dušan Stamenković 2020 63 član komisije Miloš Simonović 2020 248 listova 56437822 http://phaidrabg.bg.ac.rs/o:1681 no yes 4 2021-03-02T17:37:49.320Z 70 Mašinska vizija, uslovi smanjene vidljivosti, detekcija, ocenarastojanja, autonomno upravljanje železničkim vozilom Machine vision, reduced visibility conditions, detection, distanceestimation, autonomous train operation 656.2.052.5:007.52(043.3) T125 1738 18A04 18A0405 2020