Abstract
Abstract
Background
With advances in technologies that enabled massive visual data collection and BIM, the AEC industry now has an unprecedented amount of visual data (e.g., images and videos) and BIMs. One of the past efforts to leverage these data includes the Construction Material Library (CML) that was created for inferring construction progress by automatically detecting construction materials. CML has a limited number of construction material classes because it is merely impossible for an individual or a group of researchers to collect all possible variations of construction materials.
Methods
This paper proposes a web-based platform that streamlines the data collection process for creating annotated material patches guided by BIM overlays.
Result
Construction site images with BIM overlays are automatically generated after image-based 3D reconstruction. These images are deployed on a web-based platform for annotations.
Conclusion
The proposed crowdsourcing method using this platform has potential to scale up data collection for expanding the existing CML. A case study was conducted to validate the feasibility of the proposed method and to improve the web interface before deployment to a public cloud environment.
Funder
Division of Civil, Mechanical and Manufacturing Innovation
National Center for Supercomputing Applications's Institute for Advanced Computing Applications and Technologies
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Engineering (miscellaneous),Modeling and Simulation
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