Contributions to Proceedings:
W. Huhnt, H. Timo, G. Suter:
"Space classification from point clouds of indoor environments based on reconstructed topology";
in: "Workshop of the European Group for Intelligent Computing in Engineering",
Springer,
2018,
82
- 102.
English 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.
German 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.
Keywords:
Building model reconstruction, Geometric modeling, Building information modeling
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1007/978-3-319-91635-4_5
Created from the Publication Database of the Vienna University of Technology.