BIM-compliant reconstruction of 3D geometries and semantic information for building modeling

Overview

The project BIM-compliant building reconstruction is an explorative subproject in the flagship project i_city. The intelligent city of the future can only be created on the basis of high-quality data. Especially building and city models are at the centre of such a development. For precise and three-dimensional representation of buildings, Building Information Modeling is becoming increasingly popular in the planning phase of new buildings. However, existing buildings are usually not modelled as BIM-models. In this project a possible concept for such a BIM-compliant building survey is proposed.

Research Question

Various state-of-the-art methods known from geodesy are available for recording buildings and interior geometries. However, their workflows are very time-consuming, either when measuring or processing for such highly complex three-dimensional BIM-models. In addition, the semantic information that is important for the BIM-models is not determined automatically, but has to be noted down by hand and transferred to the BIM-model manually. Automatic extraction of this component from the measurement data is not yet available. In order to enable simple modelling, a new procedure towards automation of BIM-compliant building reconstruction is being developed in this project. This is illustrated by the implementation in a demonstrator application.

Research Methods

Based on an investigation of suitable recording procedures, a concept for recording and processing was developed. The combination of mobile laser scanners and image-based photogrammetry form the basis for automated processing.

The central component of this is - in addition to the geometric information of the point cloud - especially the semantic information contained in the images. Based on these, an automatic and pixel-level extraction of the object type is carried out using deep learning methods. This forms the foundation for the assignment of the points of the photogrammetric point cloud to clear categories. This forms the foundation for labeling each point in photogrammetric point cloud using the segmented images.

The inherent geometric and semantic information of the point cloud is the basis for BIM-compliant modeling.

 

Further steps of the concept:

- Combination with mobile laser scanning point cloud

- Extraction of objects and their properties

- Extraction of further semantic information from the data

Expected Results

Based on the study and the developed concept, a demonstrator application is to be created. This enables automation of BIM-model creation.

ManagementProf. Dr. Eberhard Gülch, Prof. Dr. Michael Hahn
ProjectfundingBMBF
TenderingFH-Impulse
Duration01.08.2017 - 31.07.2021

 

Team

Name and position Field Email and phone Room
Professor +49 711 8926 2560 2/209
Professor Photogrammetrie +49 711 8926 2610 2/208
Akademischer Mitarbeiter +49 711 8926 2704 2/249