Pregled bibliografske jedinice broj: 1136774
Traffic Signs Recognition using Machine Learning
Traffic Signs Recognition using Machine Learning, 2021., diplomski rad, preddiplomski, Fakultet elektrotehnike i računarstva, Zagreb
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Naslov
Traffic Signs Recognition using Machine Learning
Autori
Begić, Dominik
Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, preddiplomski
Fakultet
Fakultet elektrotehnike i računarstva
Mjesto
Zagreb
Datum
09.07
Godina
2021
Stranica
37
Mentor
Bagić Babac, Marina
Ključne riječi
computer vision ; classification ; convolutional neural network ; machine learning
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Marina Bagić Babac
(mentor)