Traffic Signs Detection Using Blob Analysis and Pattern Recognition

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
Traffic Signs Detection Using Blob Analysis and Pattern Recognition
Original language description
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.
Czech name
—
Czech description
—

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2012 13th International Carpathian Control Conference, ICCC 2012
ISBN
978-1-4577-1868-7
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
776-779
Publisher name
IEEE
Place of publication
Piscataway
Event location
Podbanské, Vysoké Tatry
Event date
May 28, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)