@inproceedings{45da3d1801c2446287322917970d08b5,
title = "A computational procedure for generating specimens of BIM and point cloud data for building change detection",
abstract = "The potential for automated construction quality inspection, construction progress tracking and post-earthquake damage assessment drives research in interpretation of remote sensing data and compilation of semantic models of buildings in different states. However, research efforts are often hampered by a lack of full-scale datasets. This is particularly the case for earthquake damage assessment research, where acquisition of scans is restricted by scarcity of access to post-earthquake sites. To solve this problem, we have developed a procedure for compiling digital specimens in both pre- and post-event states and for generating synthetic data equivalent to which would result from laser scanning in the field. The procedure is validated by comparing the physical and synthetic scans of a damaged beam. Interpretation of the beam damage from the synthetic data demonstrates the feasibility of using this procedure to replace physical specimens with digital models for experimentation and for other civil engineering applications.",
keywords = "BIM, Change detection, Computational procedure, Damage assessment, Laser scanning",
author = "Ling Ma and Rafael Sacks and Reem Zeibak-Shini and Sagi Filin",
note = "Publisher Copyright: {\textcopyright} 2015 ASCE.; 2015 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2015 ; Conference date: 21-06-2015 Through 23-06-2015",
year = "2015",
doi = "10.1061/9780784479247.085",
language = "الإنجليزيّة",
series = "Congress on Computing in Civil Engineering, Proceedings",
number = "January",
pages = "684--691",
editor = "O'Brien, \{William J.\} and Simone Ponticelli",
booktitle = "Computing in Civil Engineering 2015 - Proceedings of the 2015 International Workshop on Computing in Civil Engineering",
edition = "January",
}
