• DocumentCode
    2052521
  • Title

    FPGA based traffic sign detection for automotive camera systems

  • Author

    Schwiegelshohn, Fynn ; Gierke, Lars ; Hubner, Michael

  • Author_Institution
    Embedded Syst. of Inf. Technol., Ruhr-Univ.-Bochum, Nord-Rhein-Westfalen, Germany
  • fYear
    2015
  • fDate
    June 29 2015-July 1 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Advanced driver assistance systems (ADAS) have become very prominent in todays automobiles. The technological advancement of already familiar assistance systems enable the car to now autonomously assess the current situation and react accordingly. In terms of data processing, there is no difference between actually acting i.e. accelerating, braking or steering and just issuing warnings to alert the driver of a dangerous situation. In this paper, we introduce a camera based image processing system for traffic sign detection for FullHD resolution. This system is able to detect speed limit traffic signs but additional traffic signs can be implemented using the same model. The hardware components consist of a Microblaze softcore from Xilinx and an extended IP core for HDMI-in and out signals. The system is implemented on a a Spartan-6-FPGA. For image acquisition, an off-the-shelf car camera is used. The developed system is able to reliably detect traffic signs on short distances on static images as well as on image streams.
  • Keywords
    automotive engineering; driver information systems; field programmable gate arrays; image resolution; object detection; ADAS; FPGA based traffic sign detection; FullHD resolution; HDMI; IP core; Microblaze softcore; Spartan-6-FPGA; Xilinx; advanced driver assistance systems; automotive camera systems; camera based image processing system; data processing; image acquisition; image streams; Feature extraction; Field programmable gate arrays; Hardware; Image color analysis; Image edge detection; Image resolution; Program processors; Atlys Board; FPGA; Image processing; Spartan-6; Traffic sign detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC), 2015 10th International Symposium on
  • Conference_Location
    Bremen
  • Type

    conf

  • DOI
    10.1109/ReCoSoC.2015.7238089
  • Filename
    7238089