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Fast and adaptive surface reconstruction from mobile laser scanning data of urban areas

: Gordon, Marvin; Hebel, Marcus; Arens, Michael

Fulltext urn:nbn:de:0011-n-3326702 (12 MByte PDF)
MD5 Fingerprint: 6472a61959070e64a91c9d73deed8100
Created on: 2.4.2015

Stilla, U. ; International Society for Photogrammetry and Remote Sensing -ISPRS-:
PIA 2015, Photogrammetric Image Analysis : HRIGI15 - High Resolution Earth Imaging for Geospatial Information, workshops, 25-27 March 2015, Munich, Germany
Istanbul: ISPRS, 2015 (ISPRS Annals II-3/W4)
Workshop "Photogrammetric Image Analysis" (PIA) <2015, Munich>
Workshop "High Resolution Earth Imaging for Geospatial Information" (HRIGI) <2015, Munich>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
LIDAR; mapping; mobile laser scanning; surface reconstruction; urban

The availability of 3D environment models enables many applications such as visualization, planning or simulation. With the use of current mobile laser scanners it is possible to map large areas in relatively short time. One of the emerging problems is to handle the resulting huge amount of data. We present a fast and adaptive approach to represent connected 3D points by surface patches while keeping fine structures untouched. Our approach results in a reasonable reduction of the data and, on the other hand, it preserves details of the captured scene. At all times during data acquisition and processing, the 3D points are organized in an octree with adaptive cell size for fast handling of the data. Cells of the octree are filled with points and split into subcells, if the points do not lie on one plane or are not evenly distributed on the plane. In order to generate a polygon model, each octree cell and its corresponding plane are intersected. As a main result, our approach allows the online generation of an expandable 3D model of controllable granularity. Experiments have been carried out using a sensor vehicle with two laser scanners at an urban test site. The results of the experiments show that the demanded compromise between data reduction and preservation of details can be reached.