An Automated Approach to the Generation of Structured Building Information Models from Unstructured 3d Point Cloud Scans

Martin Tamke, Henrik Leander Evers, Raoul Wessel, Sebastian Ochmann, Richard Vock, Reinhard Klein

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

In this paper we present and evaluate an approach for the automatic generation of building models in IFC BIM format from unstructured Point Clouds scans, as they result from 3D laser scans of buildings. While the actual measurement process is relatively fast, 85% of the overall time are spend on the interpretation and transformation of the resulting Point Cloud data into information, which can be used in architectural and engineering design workflows. Our approach to tackle this problem, is in contrast to existing ones which work on the levels of points, based on the detection of building elements, such as walls, ceilings, doors, windows, and spaces and the relation between these. We present use cases with our software prototype, evaluate the results, and discuss future work, that will bring the research further towards the aim to create automatically semantic links between the conception of building design in BIM and simulations with the build environment.
Original languageDanish
Title of host publicationProceedings of the IASS Annual Symposium 2016 Spatial Structures in the 21st Century
Number of pages10
Publication date2016
Commissioning bodyInstitute of Computer Science II, University of Bonn
Publication statusPublished - 2016
Event IASS Annual Symposium 2016: Spatial Structures in the 21st Century - Tokyo, Japan
Duration: 26 Sep 201630 Oct 2016
http://iass2016.jp/
http://iass2016.jp/

Conference

Conference IASS Annual Symposium 2016
CountryJapan
CityTokyo
Period26/09/201630/10/2016
Internet address

Artistic research

  • No

Cite this

Tamke, M., Evers, H. L., Wessel, R., Ochmann, S., Vock, R., & Klein, R. (2016). An Automated Approach to the Generation of Structured Building Information Models from Unstructured 3d Point Cloud Scans. In Proceedings of the IASS Annual Symposium 2016 Spatial Structures in the 21st Century
Tamke, Martin ; Evers, Henrik Leander ; Wessel, Raoul ; Ochmann, Sebastian ; Vock, Richard ; Klein, Reinhard. / An Automated Approach to the Generation of Structured Building Information Models from Unstructured 3d Point Cloud Scans. Proceedings of the IASS Annual Symposium 2016 Spatial Structures in the 21st Century. 2016.
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title = "An Automated Approach to the Generation of Structured Building Information Models from Unstructured 3d Point Cloud Scans",
abstract = "In this paper we present and evaluate an approach for the automatic generation of building models in IFC BIM format from unstructured Point Cloud scans, as they result from 3dlaser scans of buildings.While the actual measurement process is relatively fast, 85{\%} of the overall time are spend on the interpretation and transformation of the resulting Point Cloud data into information, which can be used in architectural and engineering design workflows. Our approach to tackle this problem, is in contrast to existing ones which work on the levels of points, based on the detection of building elements, such as walls, ceilings, doors, windows, and spaces and the relation between these. We present use cases with our software prototype, evaluate the results, and discuss future work, that will bring the research further towards the aim to create automatically semantic links between the conception of building design in BIM and simulations with the build environment.",
keywords = "BIM, Point Clouds, 3d scanning, Evaluation, Computational Methods, Machien LEarning, Semantic Web",
author = "Martin Tamke and Evers, {Henrik Leander} and Raoul Wessel and Sebastian Ochmann and Richard Vock and Reinhard Klein",
year = "2016",
language = "Dansk",
booktitle = "Proceedings of the IASS Annual Symposium 2016 Spatial Structures in the 21st Century",

}

Tamke, M, Evers, HL, Wessel, R, Ochmann, S, Vock, R & Klein, R 2016, An Automated Approach to the Generation of Structured Building Information Models from Unstructured 3d Point Cloud Scans. in Proceedings of the IASS Annual Symposium 2016 Spatial Structures in the 21st Century. IASS Annual Symposium 2016, Tokyo, Japan, 26/09/2016.

An Automated Approach to the Generation of Structured Building Information Models from Unstructured 3d Point Cloud Scans. / Tamke, Martin; Evers, Henrik Leander; Wessel, Raoul; Ochmann, Sebastian; Vock, Richard; Klein, Reinhard.

Proceedings of the IASS Annual Symposium 2016 Spatial Structures in the 21st Century. 2016.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - An Automated Approach to the Generation of Structured Building Information Models from Unstructured 3d Point Cloud Scans

AU - Tamke, Martin

AU - Evers, Henrik Leander

AU - Wessel, Raoul

AU - Ochmann, Sebastian

AU - Vock, Richard

AU - Klein, Reinhard

PY - 2016

Y1 - 2016

N2 - In this paper we present and evaluate an approach for the automatic generation of building models in IFC BIM format from unstructured Point Cloud scans, as they result from 3dlaser scans of buildings.While the actual measurement process is relatively fast, 85% of the overall time are spend on the interpretation and transformation of the resulting Point Cloud data into information, which can be used in architectural and engineering design workflows. Our approach to tackle this problem, is in contrast to existing ones which work on the levels of points, based on the detection of building elements, such as walls, ceilings, doors, windows, and spaces and the relation between these. We present use cases with our software prototype, evaluate the results, and discuss future work, that will bring the research further towards the aim to create automatically semantic links between the conception of building design in BIM and simulations with the build environment.

AB - In this paper we present and evaluate an approach for the automatic generation of building models in IFC BIM format from unstructured Point Cloud scans, as they result from 3dlaser scans of buildings.While the actual measurement process is relatively fast, 85% of the overall time are spend on the interpretation and transformation of the resulting Point Cloud data into information, which can be used in architectural and engineering design workflows. Our approach to tackle this problem, is in contrast to existing ones which work on the levels of points, based on the detection of building elements, such as walls, ceilings, doors, windows, and spaces and the relation between these. We present use cases with our software prototype, evaluate the results, and discuss future work, that will bring the research further towards the aim to create automatically semantic links between the conception of building design in BIM and simulations with the build environment.

KW - BIM

KW - Point Clouds

KW - 3d scanning

KW - Evaluation

KW - Computational Methods

KW - Machien LEarning

KW - Semantic Web

M3 - Konferencebidrag i proceedings

BT - Proceedings of the IASS Annual Symposium 2016 Spatial Structures in the 21st Century

ER -

Tamke M, Evers HL, Wessel R, Ochmann S, Vock R, Klein R. An Automated Approach to the Generation of Structured Building Information Models from Unstructured 3d Point Cloud Scans. In Proceedings of the IASS Annual Symposium 2016 Spatial Structures in the 21st Century. 2016