TY - GEN
T1 - Identifying the Process for Automated Vision-based Construction Progress Monitoring
AU - Ur Rehman, Muhammad Sami
AU - Shafiq, Muhammad Tariq
N1 - Publisher Copyright:
© 2021 by the authors. Submitted for possible open access publication under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
PY - 2021
Y1 - 2021
N2 - The vision-based construction progress monitoring process is a technique that provides vital information on the status of the construction process to make important decisions by getting the vision dataset as an input acquired through various methods. This technique aims at reducing labor-intensive tasks involved in the traditional construction progress monitoring process which makes it accurate and provides the timely status of any potential delays. This paper presented the findings of the literature review conducted to identify the process for automated vision-based construction progress monitoring. This review identifies four key processes involved in the vision-based construction progress monitoring process i.e., data acquisition, information retrieval, progress estimation, and visualization of output. It furthers reports the detail of various methods and techniques involved in these four distinct processes and accesses these methods and techniques for the level of automation provided by each to realize the viability of the automated vision-based process. This paper concludes by providing a re-engineered process for automated vision-based construction monitoring to be an alternative to traditional progress monitoring techniques.
AB - The vision-based construction progress monitoring process is a technique that provides vital information on the status of the construction process to make important decisions by getting the vision dataset as an input acquired through various methods. This technique aims at reducing labor-intensive tasks involved in the traditional construction progress monitoring process which makes it accurate and provides the timely status of any potential delays. This paper presented the findings of the literature review conducted to identify the process for automated vision-based construction progress monitoring. This review identifies four key processes involved in the vision-based construction progress monitoring process i.e., data acquisition, information retrieval, progress estimation, and visualization of output. It furthers reports the detail of various methods and techniques involved in these four distinct processes and accesses these methods and techniques for the level of automation provided by each to realize the viability of the automated vision-based process. This paper concludes by providing a re-engineered process for automated vision-based construction monitoring to be an alternative to traditional progress monitoring techniques.
KW - Automated monitoring
KW - Automation
KW - Computer vision
KW - Construction progress
KW - Progress monitoring
KW - Vision-based
UR - http://www.scopus.com/inward/record.url?scp=85125758616&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85125758616&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85125758616
T3 - ZEMCH International Conference
SP - 740
EP - 746
BT - ZEMCH 2021 - 8th Zero Energy Mass Custom Home International Conference, Proceedings
A2 - Tabet Aoul, Kheira Anissa
A2 - Shafiq, Mohammed Tariq
A2 - Attoye, Daniel Efurosibina
PB - ZEMCH Network
T2 - 8th Zero Energy Mass Custom Home International Conference, ZEMCH 2021
Y2 - 26 October 2021 through 28 October 2021
ER -
