فاند دکتری معماری دانشگاه وین اتریش

The reconstruction of as-built building models from point cloud data is a challenging problem with promising applications in the building operation and maintenance (O&M) phase. As-built models are more accurate than as-designed ones and thus enable a better understanding and decision-making regarding retrofitting buildings to changing user needs, or making them compliant with regulations. Currently, the model reconstruction task involves significant manual modeling effort. In order to achieve improved automation of as-built building model reconstruction, we investigate the derivation of missing semantic data.

These include topological relations between objects in a building (e.g. access relation between spaces) and semantic object properties (e.g. space functions). We propose a model reconstruction pipeline which is divided into point cloud processing, topology reconstruction, and space classification steps. Methods are developed to: i) extract semantically labeled geometric models from a point cloud, as required by O&M applications, ii) reconstruct the geometry of building components (e.g. walls) and spaces, including their topological relations, and iii) enrich space and related object data with functional classification data. We reuse, adapt, or extend known algorithms and data structures from the areas of point cloud processing, topology modeling, and semantic model enrichment. A proof of concept of the reconstruction pipeline is implemented and validated for O&M application domains of room area measurement and evacuation path analysis.

Project partners:

Timo Hartmann, Institute for Civil Engineering, TU Berlin
Wolfgang Huhnt, Institute for Civil Engineering, TU Berlin
Georg Suter, Institute for Architectural Sciences, TU Wien

Project duration:

۲۰۲۱-۲۰۲۴ (current)

*** PhD position (Austrian Science Fund, FWF) available ***

Working field:
Research within an Austrian Science fund (FWF) project in the field of AI methods for building design; possibility to obtain a doctoral degree.
The research project is conducted in cooperation with Prof. Hartmann and Prof. Huhnt, Department of Civil Engineering, TU Berlin.

Requirements:

• Successfully completed university degree (Master, Diplom or equivalent) in architecture, engineering, computer science, or related fields
• Programming or scripting experience
• The ability to work in a team, excellent communication skills, and a high motivation to bring own ideas to the project.
• Working language is English. Proficiency in German is advantageous but not required.

How to apply:
Please send your application with the usual documents to Prof. Georg Suter. Please send it by e-mail in a single PDF-file to georg.suter(at)tuwien.ac.at .
To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. TU Wien values the diversity of its members and is committed to the goals of equal opportunities.
Please send copies only. Original documents will not be returned.