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A framework for voxel-based global scale modeling of urban environments

: Gehrung, Joachim; Hebel, Marcus; Arens, Michael; Stilla, Uwe

Fulltext urn:nbn:de:0011-n-4190799 (5.5 MByte PDF)
MD5 Fingerprint: e5b015585507eafd4098c59e7dfa9d7f
Created on: 8.11.2016

Isikdag, U. ; International Society for Photogrammetry and Remote Sensing -ISPRS-:
3rd International GeoAdvances Workshop 2016 : 16-17 October 2016, Istanbul, Turkey; GeoAdvances 2016; ISPRS Workshop on Multi-dimensional & Multi-scale Spatial Data Modeling
Istanbul: ISPRS, 2016 (ISPRS Archives XLII-2/W1)
International GeoAdvances Workshop <3, 2016, Istanbul>
Workshop on Multi-Dimensional & Multi-Scale Spatial Data Modeling <2016, Istanbul>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
Large Scale Modeling; Urban Environments; Probabilistic Occupancy Maps; volume rendering

The generation of 3D city models is a very active field of research. Modeling environments as point clouds may be fast, but has disadvantages. These are easily solvable by using volumetric representations, especially when considering selective data acquisition, change detection and fast changing environments. Therefore, this paper proposes a framework for the volumetric modeling and visualization of large scale urban environments. Beside an architecture and the right mix of algorithms for the task, two compression strategies for volumetric models as well as a data quality based approach for the import of range measurements are proposed. The capabilities of the framework are shown on a mobile laser scanning dataset of the Technical University of Munich. Furthermore the loss of the compression techniques is evaluated and their memory consumption is compared to that of raw point clouds. The presented results show that generation, storage and real-time rendering of even large urban models are feasible, even with off-the-shelf hardware.