Traffic Signs Detection Using Blob Analysis and Pattern Recognition

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F12%3A86083641" target="_blank" >RIV/61989100:27230/12:86083641 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/CarpathianCC.2012.6228752" target="_blank" >http://dx.doi.org/10.1109/CarpathianCC.2012.6228752</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CarpathianCC.2012.6228752" target="_blank" >10.1109/CarpathianCC.2012.6228752</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Traffic Signs Detection Using Blob Analysis and Pattern Recognition

Popis výsledku v původním jazyce

Computer vision has been increasingly used as a tool for orientation of machines in unknown areas. This paper deals with the challenge of perceiving traffic signs for autonomous driving. It is concerned with the competition of fully autonomous robots that takes place in a track with the shape of a traffic road. A specific set of signs has been addressed and solved with very good results. A combination of two techniques based on blob analysis and pattern recognition has been used and selected results ofthe experiments are presented along with the description of the main algorithms. Introduction also contains a brief research of work that has been already published in this area of engineering.

Název v anglickém jazyce

Traffic Signs Detection Using Blob Analysis and Pattern Recognition

Popis výsledku anglicky

Computer vision has been increasingly used as a tool for orientation of machines in unknown areas. This paper deals with the challenge of perceiving traffic signs for autonomous driving. It is concerned with the competition of fully autonomous robots that takes place in a track with the shape of a traffic road. A specific set of signs has been addressed and solved with very good results. A combination of two techniques based on blob analysis and pattern recognition has been used and selected results ofthe experiments are presented along with the description of the main algorithms. Introduction also contains a brief research of work that has been already published in this area of engineering.

Druh

D - Stať ve sborníku

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 2012 13th International Carpathian Control Conference, ICCC 2012

ISBN

978-1-4577-1868-7

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

776-779

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Podbanské, Vysoké Tatry

Datum konání akce

28. 5. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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