AUTODESK RESEARCH

210 King Street: A Dataset for Integrated Performance Assessment

Ramtin Attar, Michael Glueck, Venk Prabhu, Azam Khan

Invited Paper
Symposium on Simulation for Architecture and Urban Design
2010

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Abstract

This paper presents a Building Information Modeling (BIM) re-creation of a designated heritage building located in Toronto, Canada. By taking advantage of BIM as a centralized database, which describes both geometric and semantic aspects of a building, this model can be leveraged as a source of input for many forms of analysis. In addition to the BIM model, we present a comprehensive point cloud dataset gathered using terrestrial laser scanning technology. Based on an existing and a living building, this model is an ideal candidate for simulations that can be cross referenced with information gathered on-site.

Citation

MLA
Ramtin Attar, Venk Prabhu, Michael Glueck, and Azam Khan. 2010. 210 King Street: a dataset for integrated performance assessment. In Proceedings of the 2010 Spring Simulation Multiconference (SpringSim '10). Society for Computer Simulation International, San Diego, CA, USA, , Article 177 , 4 pages. DOI=http://dx.doi.org/10.1145/1878537.1878722

BIBTEX
@inproceedings{Attar:2010:KSD:1878537.1878722,
author = {Attar, Ramtin and Prabhu, Venk and Glueck, Michael and Khan, Azam},
title = {210 King Street: A Dataset for Integrated Performance Assessment},
booktitle = {Proceedings of the 2010 Spring Simulation Multiconference},
series = {SpringSim '10},
year = {2010},
isbn = {978-1-4503-0069-8},
location = {Orlando, Florida},
pages = {177:1--177:4},
articleno = {177},
numpages = {4},
url = {http://dx.doi.org/10.1145/1878537.1878722},
doi = {10.1145/1878537.1878722},
acmid = {1878722},
publisher = {Society for Computer Simulation International},
address = {San Diego, CA, USA},
keywords = {building information modeling, dataset, performance analysis, point cloud},
}

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