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Titel:

A Framework for generating building models for graph-based neural networks

Dokumenttyp:
Report / Forschungsbericht
Autor(en):
Seelos, S.
Abstract:
This Thesis engages in the investigation of a graph-based approach for the creation of realistic building models from an Artificial Intelligence. In the scope of this study a methodology was developed that allows the automated creation of building models in Industry Foundation Classes (IFC) format. Therefore, a thorough investigation of the IFC schema is presented. The creation of the files is done with a .NET application that is written in the programming language C#. The software library XBIM...     »
Stichworte:
LOCenter;
Beauftragende Einrichtung:
Technische Universität München
Jahr:
2019
Jahr / Monat:
2019-10
Monat:
Oct
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