Advanced construction information modeling: Technology integration and education

3Citations
Citations of this article
31Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Issa, R. R. A. (2018). Advanced construction information modeling: Technology integration and education. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10863 LNCS, pp. 311–335). Springer Verlag. https://doi.org/10.1007/978-3-319-91635-4_17

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free