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undergraduate thesis
Sustav za raspoznavanje prometnih znakova
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:307322
Dobrovodski, Matej
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Dobrovodski, M. (2018). Sustav za raspoznavanje prometnih znakova (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:307322

Dobrovodski, Matej. "Sustav za raspoznavanje prometnih znakova." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:307322

Dobrovodski, Matej. "Sustav za raspoznavanje prometnih znakova." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:307322

Dobrovodski, M. (2018). 'Sustav za raspoznavanje prometnih znakova', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 15 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:307322

Dobrovodski M. Sustav za raspoznavanje prometnih znakova [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 August 15] Available at: https://urn.nsk.hr/urn:nbn:hr:168:307322

M. Dobrovodski, "Sustav za raspoznavanje prometnih znakova", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:307322

Metadata
TitleSustav za raspoznavanje prometnih znakova
Title (english)System for Traffic Sign Recognition
AuthorMatej Dobrovodski
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberDarijan Marčetić (član povjerenstva)
Committee memberMartin Soldić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U radu su opisani popularni pristupi za klasifikaciju objekata s naglaskom na korištenje konvolucijskih neuronskih mreža. Objašnjena je generalna ideja konvolucijskih neuronskih mreža te je opisan postupak izgradnje jedne jednostavne mreže u svrhu raspoznavanja prometnih znakova korištenjem Python biblioteke Keras. Izgrađeni sustav primijenjen je na javno dostupnom skupu slika prometnih znakova GTSRB s relativno visokom točnošću od 95% i više, bez potrage za optimalnim hiperparametrima. Dan je osvrt na cjelokupni sustav, rezultate te opis smjera u kojem bi se razvoj sustava nastavio u svrhu još veće točnosti i primjene u stvarnom svijetu.
Abstract (english)
This paper describes well-known approaches to classification of objects with emphasis on the use of convolutional neural networks. The general idea behind convolutional neural networks is explained and a procedure is given for constructing a single simple network for the purpose of recognizing traffic signs using the Python library Keras. The built system was applied to the publicly available GTSRB traffic sign dataset with a relatively high accuracy of 95% and above, without a search for optimal hyperparameters. An overview of the entire system is given, as well as the results and the description of the direction in which the development of the system would continue for the purpose of even greater accuracy and application in the real world.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:307322
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 on2019-03-13 19:56:56