Huhnt, W., Hartmann, T., & Suter, G. (2018). Space Classification from Point Clouds of Indoor Environments Based on Reconstructed Topology. In Advanced Computing Strategies for Engineering (pp. 82–102). Springer. https://doi.org/10.1007/978-3-319-91635-4_5
E259-01 - Forschungsbereich Digitale Architektur und Raumplanung E259-03 - Forschungsbereich Bauphysik und Bauökologie
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Erschienen in:
Advanced Computing Strategies for Engineering
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Datum (veröffentlicht):
19-Mai-2018
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Umfang:
21
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Verlag:
Springer
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Peer Reviewed:
Ja
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Keywords:
Building information modeling; Building model reconstruction; Geometric modeling
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Abstract:
Reconstruction of as-built building models from point cloud data is a challenging problem with promising applications in the con-struction industry. In this paper, we outline the general concept of a da-ta processing pipeline that produces fully three-dimensional, semanti-cally rich and topologically valid as-built building models. Point cloud data is processed with a combination of histogram, voxel-based and RANSAC-based methods to detect surfaces of spaces and building components. Topological relations between building components (walls, slabs) are derived from a space partitioning that is generated from detected surfaces. The output from topology reconstruction is used as input for a space classification procedure which involves assigning functional properties to spaces. Each step in the data processing pipe-line is illustrated with examples. Limitations of the proposed approach are discussed and an outlook of future development in this area is given.
de
Reconstruction of as-built building models from point cloud data is a challenging problem with promising applications in the con-struction industry. In this paper, we outline the general concept of a da-ta processing pipeline that produces fully three-dimensional, semanti-cally rich and topologically valid as-built building models. Point cloud data is processed with a combination of histogram, voxel-based and RANSAC-based methods to detect surfaces of spaces and building components. Topological relations between building components (walls, slabs) are derived from a space partitioning that is generated from detected surfaces. The output from topology reconstruction is used as input for a space classification procedure which involves assigning functional properties to spaces. Each step in the data processing pipe-line is illustrated with examples. Limitations of the proposed approach are discussed and an outlook of future development in this area is given.
en
Forschungsschwerpunkte:
Information Systems Engineering: 50% Logic and Computation: 50%
