Detekcija zauzeća parkirnih mjesta

master's thesis

• Title (english): Parking space occupancy detection
• Author: Fran Huzjan
• Mentor: Domagoj Jakobović (mentor)
• Committee member: Domagoj Jakobović (predsjednik povjerenstva)
• Committee member: Marko Đurasević (član povjerenstva)
• Committee member: Marko Čupić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2020-07-14, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U sklopu ovog diplomskog rada opisan je i implementiran sustav detekcija zauzeća parkirnih mjesta i njegove komponente. Opisani su mehanizmi strojnog i dubokog učenja. Opisane su neuronske mreže i njihovo učenje. Navedene su baze podataka koje su se koristile u radu za učenje neuronskih mreža za rad sustava. Ispitani su i uspoređeni novodobiveni modeli međusobno i s predtreniranih modelom. Dobiveni rezultati prikazani su grafički i zatim analizirani.

Abstract (english)

In this thesis, a system for detecting the occupancy of parking spaces and its components is described and implemented. Mechanisms of machine and deep learning are described. Neural networks and their learning are described. The databases used in the thesis to learn neural networks for system operation are listed. Newly trained models were tested and compared with each other and with pre-trained model. The obtained results are presented graphically and then analyzed.

• Keywords: duboko učenje; strojno učenje; neuronske mreže; računalni vid; detekcija objekata; parkirališta; zauzeće parkirnog mjesta
• Keywords (english): deep learning; machine learning; neural networks; computer vision; object detection; parking lot; parking space occupancy
• Language: croatian
• URN:NBN: urn:nbn:hr:168:960141
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 12:25:56