prikaz prve stranice dokumenta Pregled sustava za automatsko prepoznavanje prometnih znakova
  Download
PDF 1.23 MB
undergraduate thesis
Pregled sustava za automatsko prepoznavanje prometnih znakova
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2019. urn:nbn:hr:119:464506
Andrić, Krunoslav
University of Zagreb
Faculty of Transport and Traffic Sciences
Division of Intelligent Transport Systems and Logistics
Department of Traffic Signalling

Institutional repository: Faculty of Transport and Traffic Sciences

Cite this document

Andrić, K. (2019). Pregled sustava za automatsko prepoznavanje prometnih znakova (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:464506

Andrić, Krunoslav. "Pregled sustava za automatsko prepoznavanje prometnih znakova." Undergraduate thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:119:464506

Andrić, Krunoslav. "Pregled sustava za automatsko prepoznavanje prometnih znakova." Undergraduate thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:119:464506

Andrić, K. (2019). 'Pregled sustava za automatsko prepoznavanje prometnih znakova', Undergraduate thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:119:464506

Andrić K. Pregled sustava za automatsko prepoznavanje prometnih znakova [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2019 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:119:464506

K. Andrić, "Pregled sustava za automatsko prepoznavanje prometnih znakova", Undergraduate thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:119:464506

Metadata
TitlePregled sustava za automatsko prepoznavanje prometnih znakova
Title (english)Overview of Traffic Signs Recognition Systems
AuthorKrunoslav Andrić
MentorAnđelko Ščukanec (mentor)
Committee memberDarko Babić (predsjednik povjerenstva)
Committee memberDario Babić (član povjerenstva)
Committee memberŽeljko Šarić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Transport and Traffic Sciences
(Division of Intelligent Transport Systems and Logistics)
(Department of Traffic Signalling)
Zagreb
Defense date and country2019-09-17, 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
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:464506
Study programmeTitle: 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 resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-02-05 11:43:29