Inhaltszusammenfassung

The digitalisation of architecture, engineering and construction (AEC) industry is gaining much attention especially through Building Information Modeling (BIM). While the use of IT-supported planning and construction processes is required for new building projects, the creation of BIM-valid data for existing buildings is currently inefficient. Academic and industry are spending a lot of effort into research for flexible methods to measure as-built conditions. The automated processing of the ...The digitalisation of architecture, engineering and construction (AEC) industry is gaining much attention especially through Building Information Modeling (BIM). While the use of IT-supported planning and construction processes is required for new building projects, the creation of BIM-valid data for existing buildings is currently inefficient. Academic and industry are spending a lot of effort into research for flexible methods to measure as-built conditions. The automated processing of the resulting 3D point cloud into BIM-valid 3D CAD models using intelligent software approaches is another major research. This paper presents an overview of data acquisition techniques and 3D point cloud processing approaches regarding BIM for existing buildings, while identifying challenges and looking ahead for future research. To optimise decision making with respect to socially relevant issues, BIM as an instrument can revolutionise the AEC industry and provide the database for smart city applications.» weiterlesen» einklappen

Autoren

Klassifikation

DFG Fachgebiet:
Informatik

DDC Sachgruppe:
Ingenieurwissenschaften