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SpaRSE-BIM: Classification of IFC-based geometry via sparse convolutional neural networks

Advanced Engineering Informatics, vol. 53, pp. 101641

Authors 5

  1. RWTH Aachen University

    Affiliation as printed

    Institute of Energy Efficiency and Sustainable Building E3D, RWTH Aachen University, Mathieustr. 30, Aachen, 52074, NRW, Germany

  2. RWTH Aachen University

    Affiliation as printed

    Institute of Energy Efficiency and Sustainable Building E3D, RWTH Aachen University, Mathieustr. 30, Aachen, 52074, NRW, Germany

  3. RWTH Aachen University

    Affiliation as printed

    Institute of Energy Efficiency and Sustainable Building E3D, RWTH Aachen University, Mathieustr. 30, Aachen, 52074, NRW, Germany

  4. RWTH Aachen University

    Affiliation as printed

    Institute of Energy Efficiency and Sustainable Building E3D, RWTH Aachen University, Mathieustr. 30, Aachen, 52074, NRW, Germany

  5. RWTH Aachen University

    Affiliation as printed

    Institute of Energy Efficiency and Sustainable Building E3D, RWTH Aachen University, Mathieustr. 30, Aachen, 52074, NRW, Germany

Cited by 44 stored of 46

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References 46