Otkrivanje parkirnih mjesta zasnovano na dubokom učenju

master's thesis

• Title (english): Parking Spot Detection Based on Deep Learning
• Author: Igor Šarić
• Mentor: Marin Šilić (mentor)
• Committee member: Marin Šilić (predsjednik povjerenstva)
• Committee member: Klemo Vladimir (član povjerenstva)
• Committee member: Goran Delač (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2020-07-07, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Oblikovanje i programsko ostvarivanje sustava za otkrivanje parkirnih mjesta. Definiranje problema otkrivanja slobodnih parkirnih mjesta iz slike. Rješavanje problema otkrivanja lokacija parkirnih mjesta i određivanje zauzeća parkirnog mjesta. Testiranje točnosti sustavan za parking mjesta.

Abstract (english)

Design and implementation of a deep learning based parking spot detection system. Defining the problem of the parking spot detection form a camera feed. Solving the two-part problem of finding the parking spots in the image and then classifying if the spot is occupied using deep learning methods. Testing of the accuracy of the parking system.

• Keywords: otkrivanje parking mjesta; duboko učenje; otkrivanje objekata na slici; parking sustav; CNN
• Keywords (english): Parking Spot Detection; Deep Learning; Object Detection; Parking system; CNN
• Language: english
• URN:NBN: urn:nbn:hr:168:998101
• 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 13:53:10