• DocumentCode
    3221876
  • Title

    A new machine for acquire pavement texture

  • Author

    Vilaça, João L. ; Fonseca, Jaime C. ; Pinho, António M. ; Freitas, Elisabete

  • Author_Institution
    Ind. Electron. Dept., Univ. of Minho, Guimaraes, Portugal
  • fYear
    2009
  • fDate
    26-29 Jan. 2009
  • Firstpage
    97
  • Lastpage
    102
  • Abstract
    This paper presents a prototype machine for the acquisition and characterization of the macrotexture and megatexture of road surfaces. The development stages of the prototype machine involved: 3D data acquisition system configuration and calibration - based on laser triangulation technique, 3D surface reconstruction of the road surface and texture characterization using appropriated indicators, such as the Mean Profile Depth (MPD) and the Texture Profile Level (L), by applying different and complementary mathematical techniques. The prototype machine created is able to work in laboratory and in field, allowing an acquisition accuracy of 0.5 mm. The contribution of this research is in developing a prototype machine capable of acquiring an extensive area road surface with high precision 3D data.
  • Keywords
    data acquisition; image scanners; roads; surface texture; 3D data acquisition system; 3D surface reconstruction; laser triangulation technique; mean profile depth; pavement texture acquisition machine; pavement texture characterization machine; road surface macrotexture; road surface megatexture; texture profile level; Calibration; Design engineering; Image reconstruction; Laboratories; Prototypes; Roads; Surface emitting lasers; Surface reconstruction; Surface texture; Surface treatment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Cybernetics, 2009. ICCC 2009. IEEE International Conference on
  • Conference_Location
    Palma de Mallorca
  • Print_ISBN
    978-1-4244-5310-8
  • Electronic_ISBN
    978-1-4244-5311-5
  • Type

    conf

  • DOI
    10.1109/ICCCYB.2009.5393955
  • Filename
    5393955