The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLI-B5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 515–520, 2016
https://doi.org/10.5194/isprs-archives-XLI-B5-515-2016
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 515–520, 2016
https://doi.org/10.5194/isprs-archives-XLI-B5-515-2016

  15 Jun 2016

15 Jun 2016

PHOTOGRAMMETRIC TECHNIQUES FOR ROAD SURFACE ANALYSIS

V. A. Knyaz1 and A. G. Chibunichev2 V. A. Knyaz and A. G. Chibunichev
  • 1State Research Institute of Aviation System (GosNIIAS), 125319 Moscow, Russia
  • 2Moscow State University of Geodesy and Cartography (MIIGAiK), 105064, Moscow, Russia

Keywords: Photogrammetry, 3D reconstruction, Automation, Non-contact measurements, Road surface analysis

Abstract. The quality and condition of a road surface is of great importance for convenience and safety of driving. So the investigations of the behaviour of road materials in laboratory conditions and monitoring of existing roads are widely fulfilled for controlling a geometric parameters and detecting defects in the road surface. Photogrammetry as accurate non-contact measuring method provides powerful means for solving different tasks in road surface reconstruction and analysis. The range of dimensions concerned in road surface analysis can have great variation from tenths of millimetre to hundreds meters and more. So a set of techniques is needed to meet all requirements of road parameters estimation. Two photogrammetric techniques for road surface analysis are presented: for accurate measuring of road pavement and for road surface reconstruction based on imagery obtained from unmanned aerial vehicle. The first technique uses photogrammetric system based on structured light for fast and accurate surface 3D reconstruction and it allows analysing the characteristics of road texture and monitoring the pavement behaviour. The second technique provides dense 3D model road suitable for road macro parameters estimation.