Pregled sustava za automatsko prepoznavanje prometnih znakova

undergraduate thesis

• Title (english): Overview of Traffic Signs Recognition Systems
• Author: Krunoslav Andrić
• Mentor: Anđelko Ščukanec (mentor)
• Committee member: Darko Babić (predsjednik povjerenstva)
• Committee member: Dario Babić (član povjerenstva)
• Committee member: Željko Šarić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Transport and Traffic Sciences; (Division of Intelligent Transport Systems and Logistics); (Department of Traffic Signalling); Zagreb
• Defense date and country: 2019-09-17, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Traffic and Transport Technology; Road and Rail Transport

Abstract

Suvremeni razvoj tehnologije primijenjen u dinamičnom okruženju prometnog sustava sa sobom donosi promjene koje se osim u načinu odvijanja prometa, a koje se očituju i na prometnoj infrastrukturi. Kvalitetnim upravljanjem i održavanjem prometne infrastrukture te prometnih znakova kao jednih od njezinih ključnih elemenata, omogućuje se sigurno odvijanje prometa i zaštita svih sudionika u prometu. Stvaranjem suvremene baze podataka prometnih znakova moguće je brzo i jednostavno dobiti uvid u trenutno stanje o oštećenim i ukradenim prometnim znakovima na cesti, odnosno koje prometne znakove treba zamijeniti. Cilj ovog rada je analizirati postojeće tehnologije i tehnike označavanja prometnih znakova u svrhu ažuriranja i stvaranja funkcionalne baze cestovnih podataka. Na temelju komparativne analize tehničkih karakteristika najčešće korištenih metoda detekcije i identifikacije prometnih znakova identificirat će se osnovne prednosti i nedostatci pojedine metode te će se ustvrditi njihov potencijal za primjenu u svrhu ažuriranja baze cestovnih podataka.

Abstract (english)

The development of modern technologies applied in the dynamic environment of the traffic system brings changes in operating traffic as well as in traffic infrastructure. Quality traffic management and maintenance of infrastructure and traffic signs as one of its key elements allows safe operating for all road users. Creating contemporary traffic signs data bases would allow quick and easy access in current state regarding damaged or stolen traffic signs, meaning what traffic signs are to be replaced. The goal of this paper is to analyze current technologies and techniques of traffic signs recognition resulting in creating and updating functional road data bases. Based on comparative analysis of technical characteristics of most used methods of road signs detection and identification, the advantages and disadvantages of each method will be identified, as well as their potenal in their application in updating road data bases.

• Keywords: baze cestovnih podataka; prometni znakovi; prometna signalizacija; metode za automatsko prepoznavanje prometnih znakova
• Keywords (english): road data bases; traffic signs; road signalization traffic signs recognition methods
• Language: croatian
• URN:NBN: urn:nbn:hr:119:464506
• Study programme: Title: Traffic and Transport; specializations in: Road Traffic and Transport, Railway Traffic and Transport, Water Traffic and Transport, Air Traffic and Transport, Postal Traffic, Information and Communication Traffic, Urban Traffic and Transport; Course: Road Traffic and Transport; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka prometa (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka prometa)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2020-02-05 11:43:29