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  4. Mixed reality for on-site self-instruction and self-inspection with building information models
 
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2018
Journal Article
Title

Mixed reality for on-site self-instruction and self-inspection with building information models

Abstract
Mixed Reality (MR) solutions for the manufacturing domain aim to support the construction, production and maintenance processes of factories, its equipment and products. Within the European project ""INSITER"", Fraunhofer developed visualization solutions and MR prototypes aiming to provide relevant data for different stakeholders using Building Information Modeling (BIM)-based information. Planning data of production environments or construction sites is made available on site via MR. The main objective of the work presented in this paper, is to support planning processes as well as production and construction workflows with in-situ visualization of digital planning or process data in MR.
Author(s)
Riexinger, Günther  
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Kluth, Andreas  
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Olbrich, Manuel  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Braun, Jan-Derrik
Hochtief Vicon GmbH
Bauernhansl, Thomas  
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Journal
Procedia CIRP  
Project(s)
INSITER  
Funder
European Commission EC  
Conference
Conference on Manufacturing Systems (CMS) 2018  
Open Access
File(s)
N-506920.pdf (1.31 MB)
Rights
CC BY-NC-ND 4.0: Creative Commons Attribution-NonCommercial-NoDerivatives
DOI
10.24406/publica-r-253936
10.1016/j.procir.2018.03.160
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Keyword(s)
  • mixed reality

  • augmented reality

  • Fertigungsplanung

  • Digitalisierung

  • Montage

  • Gebäudeplanung

  • production planning

  • assembly

  • Lead Topic: Digitized Work

  • Research Line: Computer graphics (CG)

  • Research Line: Computer vision (CV)

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