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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.

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.

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.

Building model reconstruction, Geometric modeling, Building information modeling

http://dx.doi.org/10.1007/978-3-319-91635-4_5