• DocumentCode
    2895684
  • Title

    Design of high-speed support vector machine circuit for driver assistance system

  • Author

    Soojin Kim ; Seonyoung Lee ; Kyeongsoon Cho

  • Author_Institution
    Dept. of Electron. Eng., Hankuk Univ. of Foreign Studies, Yongin, South Korea
  • fYear
    2012
  • fDate
    4-7 Nov. 2012
  • Firstpage
    45
  • Lastpage
    48
  • Abstract
    In this paper, we propose a high-speed support vector machine (SVM) circuit for driver assistance system (DAS). By adopting a parallel architecture with pipeline, the circuit can provide real-time processing with a large amount of operations. The circuit can support both linear and non-linear SVM types by unifying their algorithms and architectures. The circuit size is minimized by sharing most of the resources required in the computation for both SVM types. We described the proposed high-speed SVM circuit using Verilog HDL and implemented an MPW chip using a 65nm standard cell library for silicon verification. Since the circuit can process 92 640×480 image frames per second, assuming three cameras installed on the vehicle, it can be used to provide real-time pedestrian and vehicle detection for DAS.
  • Keywords
    CMOS logic circuits; automotive electronics; driver information systems; hardware description languages; logic circuits; object detection; pattern recognition equipment; pipeline processing; signal processing equipment; support vector machines; MPW chip; Verilog HDL; driver assistance system; high speed support vector machine circuit; parallel architecture; real time pedestrian detection; real time vehicle detection; real-time processing; size 65 nm; Calculators; Computer architecture; Feature extraction; Kernel; Support vector machines; Vehicle detection; Vehicles; driver assistance system; high-speed; pedestrian and vehicle detection; support vector machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SoC Design Conference (ISOCC), 2012 International
  • Conference_Location
    Jeju Island
  • Print_ISBN
    978-1-4673-2989-7
  • Electronic_ISBN
    978-1-4673-2988-0
  • Type

    conf

  • DOI
    10.1109/ISOCC.2012.6406921
  • Filename
    6406921