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undergraduate thesis
Prepoznavanje prometnih znakova pomoću strojnog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:777927
Begić, Dominik
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Begić, D. (2021). Prepoznavanje prometnih znakova pomoću strojnog učenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:777927

Begić, Dominik. "Prepoznavanje prometnih znakova pomoću strojnog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:777927

Begić, Dominik. "Prepoznavanje prometnih znakova pomoću strojnog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:777927

Begić, D. (2021). 'Prepoznavanje prometnih znakova pomoću strojnog učenja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:777927

Begić D. Prepoznavanje prometnih znakova pomoću strojnog učenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:777927

D. Begić, "Prepoznavanje prometnih znakova pomoću strojnog učenja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:777927

Metadata
TitlePrepoznavanje prometnih znakova pomoću strojnog učenja
Title (english)Traffic Signs Recognition using Machine Learning
AuthorDominik Begić
MentorMarina Bagić Babac (mentor)
Committee memberMarina Bagić Babac (predsjednik povjerenstva)
Committee memberMarko Horvat (član povjerenstva)
Committee memberTomislav Kos (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-09-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Otkrivanje i prepoznavanje prometnih znakova jedna su od popularnijih tema računalnog vida i obrade slika posljednjih godina jer imaju važnu ulogu u autonomnoj vožnji i sigurnosti prometa. Različite vrste prometnih znakova teško je prepoznati i klasificirati u lošijim uvjetima vožnje. U ovom radu potrebno je predstaviti metode za prepoznavanje i klasifikaciju temeljem algoritama strojnog učenja. Cilj je dizajnirati i implementirati sustav za prepoznavanje koji sa slike prepoznaje i klasificira različite vrste prometnih znakova.
Abstract (english)
Traffic sign detection and recognition are one of the most popular topics of computer vision and image processing in recent years, as they play an important role in autonomous driving and traffic safety. A great variety of traffic signs are hard to be detected or classified especially if they are spoiled or the driving environment is complicated. In this thesis, the state-of-the-art methods for developing such a recognizer based on machine learning algorithms, are elaborated and discussed. The aim is to design and implement a recognizer that is able to detect and classify different types of traffic signs from images.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:777927
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-14 20:04:18