• DocumentCode
    2550276
  • Title

    Intelligent 3D Car-Body Deformation Modeling

  • Author

    Várkonyi-Kóczy, Annamária R. ; Rövid, András ; Várkonyi, Péter

  • Author_Institution
    Budapest Univ. of Technol. & Econ., Budapest
  • fYear
    2007
  • fDate
    22-28 April 2007
  • Firstpage
    48
  • Lastpage
    48
  • Abstract
    Car body deformation modeling plays a very important role in crash accident analyses, as well as in safe car body design. The determination of the energy absorbed by the deformation and the corresponding Energy Equivalent Speed (EES) can be of key importance in both cases, however their precise determination is a very difficult task. Although, using the results of crash tests, intelligent methods offer an automatic way to model the deformation of the car- body as well as the crash process itself, based on which we can determine the absorbed energy, the before-crash speed of the car, and other important features of crashes. In this paper a modeling technique and an intelligent expert system are introduced which together are able to follow the deformation process of car- bodies in car crashes and to analyze the strength of the different parts without any human intervention, thus can significantly contribute to the improvement of the modeling, (automatic) design, and safety of car-bodies.
  • Keywords
    CAD; automobiles; computer vision; deformation; expert systems; feature extraction; road accidents; solid modelling; computer vision; crash accident analysis; energy equivalent speed; intelligent 3D car-body deformation modeling; intelligent expert system; safe car body design; Computer crashes; Deformable models; Information systems; Power generation economics; Road accidents; Shape; Statistical analysis; Surface reconstruction; Vehicle crash testing; Vehicle safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, 2007. ICONS '07. Second International Conference on
  • Conference_Location
    Martinique
  • Print_ISBN
    0-7695-2807-4
  • Electronic_ISBN
    0-7695-2807-4
  • Type

    conf

  • DOI
    10.1109/ICONS.2007.32
  • Filename
    4196350