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master's thesis
Metoda za procjenu dubine scene korištenjem jedne slike
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:314880
Mišković, Gabriela
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Mišković, G. (2021). Metoda za procjenu dubine scene korištenjem jedne slike (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:314880

Mišković, Gabriela. "Metoda za procjenu dubine scene korištenjem jedne slike." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:314880

Mišković, Gabriela. "Metoda za procjenu dubine scene korištenjem jedne slike." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:314880

Mišković, G. (2021). 'Metoda za procjenu dubine scene korištenjem jedne slike', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:314880

Mišković G. Metoda za procjenu dubine scene korištenjem jedne slike [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 July 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:314880

G. Mišković, "Metoda za procjenu dubine scene korištenjem jedne slike", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:314880

Metadata
TitleMetoda za procjenu dubine scene korištenjem jedne slike
Title (english)A Method for Scene Depth Estimation Using Single Image
AuthorGabriela Mišković
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
Committee memberTomislav Petković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Razvoj računarskih znanosti uvijek je bio popraćen razvojem tehnologije. Sve češća upotreba modernih vozila zahtjeva visoke tehnološke standarde. Upravo je računalni vid grana koja uvelike pronalazi primjenu u tehnološkom napretku modernih vozila. Važan zadatak koji rješava računalni vid je procjena dubine scene. Korištenje podataka o dubini vozilima omogućuje izbjegavanje sudara s objektima za koje se utvrdi da su preblizu. Na taj način se može drastično utjecati na smanjenje prometnih nesreća i samim time spasiti mnoge živote. Cilj ovog rada bio je napraviti vlastito rješenje na temelju postojeće metode za procjenu dubine scene korištenjem samo jedne slike. U skladu s postavljenim ciljem, u radu su predstavljene umjetne neuronske mreže s posebnim naglaskom na duboke konvolucijske neuronske mreže. Opisan je korišteni kitti set podataka, kao i detalji implementacije same metode te su predstavljeni dobiveni rezultati.
Abstract (english)
The development of computer science has always been followed up by the development of technology. The increasing use of modern vehicles requires high technological standards. Computer vision is part of artificial intelligence which has a wide use in technological advancement of the modern vehicles. The important task solved by computer vision is depth estimation of the scene. Usage of depth data allows vehicles to avoid collisions with objects that are believed to be too close, and that is how number of traffic collisions may be drastically reduced and many lives saved. The aim of this paper was to create my own solution based on existing monodepth method. In addition to the subject, this paper presents artificial neural networks with special accent on deep convolutional neural networks. Used kitti data set is described, as well as the details of implementation of the method itself, and the obtained results are presented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:314880
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
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Created on2023-01-13 15:40:01