• DocumentCode
    1864367
  • Title

    FPGA based CAN Data Visualization

  • Author

    Pantiruc, Claudia ; Negru, Mihai

  • Author_Institution
    Comput. Sci. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
  • fYear
    2011
  • fDate
    25-27 Aug. 2011
  • Firstpage
    245
  • Lastpage
    252
  • Abstract
    In the last years the urban road traffic became overcrowded, requiring higher vigilance from the driver. In order to ensure a better road safety, the car manufacturers compete to offer obstacle detection and representation functions for driver assistance in difficult situations. The fast processing speed and reduced power consumption offered by FPGA devices help overcome the issue of real-time obstacle detection. This paper presents a system that employs an FPGA-based hardware implementation for objects representation. The information about the outside environment is acquired from a stereo vision system placed inside a vehicle, through the CAN (Controller Area Network) bus. The system is capable of rendering detailed objects in real-time, helping the drivers to take fast decisions when confronting difficult situations and avoid accidents.
  • Keywords
    accident prevention; collision avoidance; controller area networks; data visualisation; driver information systems; field programmable gate arrays; object detection; rendering (computer graphics); road safety; road traffic; FPGA based CAN data visualization; FPGA-based hardware implementation; accident avoidance; car manufacturer; controller area network; driver assistance; object rendering; object representation; obstacle detection; power consumption reduction; road safety; stereo vision system; urban road traffic; Field programmable gate arrays; Hardware; Real time systems; Roads; Sensors; Stereo vision; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computer Communication and Processing (ICCP), 2011 IEEE International Conference on
  • Conference_Location
    Cluj-Napoca
  • Print_ISBN
    978-1-4577-1479-5
  • Electronic_ISBN
    978-1-4577-1481-8
  • Type

    conf

  • DOI
    10.1109/ICCP.2011.6047876
  • Filename
    6047876