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rdf:type
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Description
| - This paper focuses on the developed autonomous recognition system for traffic signs elements detection and recognizing in application with various possibilities for parameters and limits setting. The designed system algorithms and methods gives usability to detect traffic signs elements inside image obtained from camera. The recognition process is composed of combination of bitmaps image algorithms and geometrical elements methods for better success of recognition and more efficient with smaller time consuming processes. The complex autonomous system structure is designed for real-time application, because of reasons for scanning and processing camera in the control and safety car applications. The developed system prevents possible errors made by human inattention with assistant for the car driving. The algorithm parts and methods of recognition system are simulated in mathematical simulation programming environment MATLAB.
- This paper focuses on the developed autonomous recognition system for traffic signs elements detection and recognizing in application with various possibilities for parameters and limits setting. The designed system algorithms and methods gives usability to detect traffic signs elements inside image obtained from camera. The recognition process is composed of combination of bitmaps image algorithms and geometrical elements methods for better success of recognition and more efficient with smaller time consuming processes. The complex autonomous system structure is designed for real-time application, because of reasons for scanning and processing camera in the control and safety car applications. The developed system prevents possible errors made by human inattention with assistant for the car driving. The algorithm parts and methods of recognition system are simulated in mathematical simulation programming environment MATLAB. (en)
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Title
| - Autonomous Recognition System for Traffic Signs Detection from Camera Images
- Autonomous Recognition System for Traffic Signs Detection from Camera Images (en)
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skos:prefLabel
| - Autonomous Recognition System for Traffic Signs Detection from Camera Images
- Autonomous Recognition System for Traffic Signs Detection from Camera Images (en)
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skos:notation
| - RIV/61989100:27240/13:86087281!RIV14-TA0-27240___
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http://linked.open...avai/predkladatel
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(EE2.3.30.0016), P(TA01010632), S
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/61989100:27240/13:86087281
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - QNX, Image Processing, Correlation, Tresholding (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - IFAC Proceedings Volumes (IFAC-PapersOnline). Volume 12, Issue PART 1
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Vaňuš, Jan
- Stankuš, Martin
- Srovnal, Vilém
- Hercík, Radim
- Slabý, Roman
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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issn
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number of pages
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http://bibframe.org/vocab/doi
| - 10.3182/20130925-3-CZ-3023.00095
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http://purl.org/ne...btex#hasPublisher
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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