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Project Reference: ITP/004/23LP
Project Title: Scan-to-BIM Automation System for Built Assets Digitalization in Hong Kong
Hosting Institution: The University of Hong Kong (HKU)
Abstract: BIM is the key to construction digitalization. Scan-to-BIM involves the technique of
surveying and reconstructing a digital representation of an existing building condition with
its functional and physical attributes. The Scan-to-BIM has a huge emerging market of
built assets digitalization, but has been hindered by low productivity (slow and costly
manual work) and applicability (low-level object semantics, no Hong Kong context, huge
file size and without texture). By solving/easing the pains, this R&D project aims to
develop a Scan-to-BIM Automation System (SBASE) for built assets digitalization in Hong
Kong. As a new Scan-to-BIM paradigm, SBASE aims to (1) double the productivity:
automated point segmentation and 3D BIM object fitting; solidly based on our awardwinning
algorithms; and deep learning models trained for Hong Kong’s projects
datasets, and (2) create new values in applicability: 3 types of new functions for built
assets, including verification, objects listing and checking, lightweight textured CIM
output. The critical value and urgency for SBASE can be gauged from committed
strategies and recent initiatives. The proposed project is firmly built upon award-winning
algorithms and R&D strengths accumulated among the applicant and collaboration
departments at the University of Hong Kong. It will help Hong Kong to strengthen its
smart construction and digitalization by continuously devising innovations and
technologies.
Project Coordinator: Dr Fan Xue
Approved Funding Amount: HK$ 5.21 M
Project Period: 31 Mar 2023 - 31 Mar 2025
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