• DocumentCode
    580539
  • Title

    Parallel video-based traffic sign recognition on the Intel SCC many-core platform

  • Author

    Borrmann, Jan Micha ; Viehl, Alexander ; Bringmann, Oliver ; Rosenstiel, Wolfgang

  • Author_Institution
    FZI Forschungszentrum Inf., Karlsruhe, Germany
  • fYear
    2012
  • fDate
    23-25 Oct. 2012
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    This paper presents a demonstrator for a largely task-parallel implementation of an automotive Advanced-Driver-Assistance-System (ADAS). Targeting the Intel SCC1 [1] 48-core chip, we show the scalability of this application towards a configurable number of cores up to 25.
  • Keywords
    driver information systems; multiprocessing systems; video signal processing; ADAS; Intel SCC many-core platform; Intel SCC1 48-core chip; automotive advanced-driver-assistance-system; parallel video-based traffic sign recognition; Cameras; Computers; IP networks; Message passing; Pipelines; Tiles; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design and Architectures for Signal and Image Processing (DASIP), 2012 Conference on
  • Conference_Location
    Karlsruhe
  • Print_ISBN
    978-1-4673-2089-4
  • Electronic_ISBN
    978-2-9539987-4-0
  • Type

    conf

  • Filename
    6385420
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=580539