Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 515-520, 2016
https://doi.org/10.5194/isprs-archives-XLI-B5-515-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
15 Jun 2016
PHOTOGRAMMETRIC TECHNIQUES FOR ROAD SURFACE ANALYSIS
V. A. Knyaz1 and A. G. Chibunichev2 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.
Conference paper (PDF, 1743 KB)


Citation: Knyaz, V. A. and Chibunichev, A. G.: PHOTOGRAMMETRIC TECHNIQUES FOR ROAD SURFACE ANALYSIS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 515-520, https://doi.org/10.5194/isprs-archives-XLI-B5-515-2016, 2016.

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