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Workshop of the European Group for Intelligent Computing in Engineering

EG-ICE 2018: Advanced Computing Strategies for Engineering pp 311–335Cite as

Advanced Construction Information Modeling: Technology Integration and Education

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10863))

Abstract

The Center for Advanced Construction Information Modeling (CACIM) conducts research related to all facets of advanced technology in the Architecture, Engineering, Construction and Operations (AECO) industry. Advanced construction information technologies comprises everything from Building Information Modeling (BIM) to Unmanned Aerial Systems (UASs) and reality computing technology. The study of such technologies includes not only the evaluation of the technology itself, but the study of workflows, use cases, and further development as well. The CACIM researchers work with industry professionals, regulatory bodies, and technology developers from around the world with the goal of discovering new ways that technology can be a part of the solution for improving the work quality and efficiency of AECO companies the world over in their quest to adapt to the 21st century. Current work of note includes the development of a Holographic Model Visualization System (HMVS); Virtual Reality workflows; BIM/VDC construction education development; Augmented Reality integration in construction; Reality computing processes and utilization; building code cost impact modeling and analysis; and strategic development of integration strategies for advanced construction technologies. Many of these projects have developed out of partnerships with local startup companies or agencies who see direct benefit from this work which also helps provide valuable insight to the CACIM researchers not only into the technology but also the associated workflows.

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References

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Author information

Authors and Affiliations

  1. Rinker School of Construction Management, University of Florida, Gainesville, FL, 32611, USA

    Raja R. A. Issa

Authors
  1. Raja R. A. Issa
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Correspondence to Raja R. A. Issa .

Editor information

Editors and Affiliations

  1. Applied Computing and Mechanics Laboratory (IMAC), School of Architecture, Civil and Environmental Engineering (ENAC), Swiss Federal Institute of Technology, Lausanne (EPFL), Lausanne, Switzerland

    Ian F. C. Smith

  2. Institute for Landscape, Architecture, Construction and Territory (inPact) Construction and Environment Department (CED), University of Applied Sciences, Geneva (HEPIA), Geneva, Switzerland

    Bernd Domer

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Issa, R.R.A. (2018). Advanced Construction Information Modeling: Technology Integration and Education. In: Smith, I., Domer, B. (eds) Advanced Computing Strategies for Engineering. EG-ICE 2018. Lecture Notes in Computer Science(), vol 10863. Springer, Cham. https://doi.org/10.1007/978-3-319-91635-4_17

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  • DOI: https://doi.org/10.1007/978-3-319-91635-4_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91634-7

  • Online ISBN: 978-3-319-91635-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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