Toward Automated Spatial Change Analysis of MEP Components Using 3D Point Clouds and As-Designed BIM Models

Vamsi Sai Kalasapudi, Yelda Turkan, Pingbo Tang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

The architectural, engineering, construction and facilities management (AEC-FM) industry is going through a transformative phase by adapting new technologies and tools into its change management practices. AEC-FM Industry has adopted Building Information Modeling (BIM) and three-dimensional (3D) laser scanning technologies in tracking changes in the whole lifecycle of building and infrastructure projects, from planning to design and construction, and finally to facilities management. One of the challenges of using these technologies in change management is the difficulties of reliably detecting changes of densely located objects, such as Mechanical, Electrical, and Plumbing (MEP) objects in building systems. This paper presents a novel relational-graph-based framework for automated spatial change analysis of MEP components. This framework extract objects and spatial relationships from 3D laser scanned point clouds, and use relational structures of objects in data and designed BIM models for fusing 3D data and as-designed BIM. The authors validated the proposed change analysis approach using data acquired from real building construction sites.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 International Conference on 3D Vision Workshops, 3DV 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages145-152
Number of pages8
ISBN (Print)9781479970018
DOIs
StatePublished - Aug 7 2015
Event2nd International Conference on 3D Vision Workshops, 3DV 2014 - Tokyo, Japan
Duration: Dec 8 2014Dec 11 2014

Other

Other2nd International Conference on 3D Vision Workshops, 3DV 2014
CountryJapan
CityTokyo
Period12/8/1412/11/14

Keywords

  • 3D laser scanning
  • BIM
  • spatial change

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Radiology Nuclear Medicine and imaging

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    Kalasapudi, V. S., Turkan, Y., & Tang, P. (2015). Toward Automated Spatial Change Analysis of MEP Components Using 3D Point Clouds and As-Designed BIM Models. In Proceedings - 2014 International Conference on 3D Vision Workshops, 3DV 2014 (pp. 145-152). [7182727] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/3DV.2014.105