Volume II-3/W3
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W3, 31-36, 2013
https://doi.org/10.5194/isprsannals-II-3-W3-31-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W3, 31-36, 2013
https://doi.org/10.5194/isprsannals-II-3-W3-31-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

  08 Oct 2013

08 Oct 2013

Semi-Automatic Road/Pavement Modeling using Mobile Laser Scanning

A. Hervieu and B. Soheilian A. Hervieu and B. Soheilian
  • IGN/SR, MATIS, 73 avenue de Paris, 94160 Saint-Mande, France

Keywords: Curb detection, street modeling, road surface

Abstract. Scene analysis, in urban environments, deals with street modeling and understanding. A street mainly consists of roadways, pavements (i.e., walking areas), facades, still and moving obstacles. In this paper, we investigate the surface modeling of roadways and pavements using LIDAR data acquired by a mobile laser scanning (MLS) system. First, road border detection is considered. A system recognizing curbs and curb ramps while reconstructing the missing information in case of occlusion is presented. A user interface scheme is also described, providing an effective tool for semi-automatic processing of large amount of data. Then, based upon road edge information, a process that reconstructs surfaces of roads and pavements has been developed, providing a centimetric precision while reconstructing missing information. This system hence provides an important knowledge of the street, that may open perspectives in various domains such as path planning or road maintenance.