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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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Description
  • Recognition of traffic lights and signs is an important task for advanced driver assistance systems (ADAS), as well as for autonomous driving systems of driverless cars. 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 of the experiments will be presented along with the description of the main algorithms.
  • Recognition of traffic lights and signs is an important task for advanced driver assistance systems (ADAS), as well as for autonomous driving systems of driverless cars. 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 of the experiments will be presented along with the description of the main algorithms. (en)
Title
  • Trafic lights recognition for robotic competition
  • Trafic lights recognition for robotic competition (en)
skos:prefLabel
  • Trafic lights recognition for robotic competition
  • Trafic lights recognition for robotic competition (en)
skos:notation
  • RIV/61989100:27230/11:86080428!RIV12-MSM-27230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 235734
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27230/11:86080428
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • pattern recognition; blob analysis; robotic; trafic lights recognition (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C346ACE5D25A]
http://linked.open...v/mistoKonaniAkce
  • Praha
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • Technical Computing Prague 2011
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Tůma, Jiří
  • Zavadil, Jaromír
  • Santos, V.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Humusoft, s. r. o.
https://schema.org/isbn
  • 978-80-7080-794-1
http://localhost/t...ganizacniJednotka
  • 27230
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