Computer Vision Enabled Building Digital Twin Using Building Information Model-Reference-Cited by-同舟云学术

Computer Vision Enabled Building Digital Twin Using Building Information Model

Author:

Zhou Xiaoping¹^ORCID,Sun Kaiyue¹^ORCID,Wang Jia¹^ORCID,Zhao Jichao²,Feng Chiyuan³,Yang Yalong⁴^ORCID,Zhou Wei⁵

Affiliation:

1. Beijing Key Laboratory of Intelligent Processing for Building Big Data, Beijing University of Civil Engineering and Architecture, Beijing, China

2. China National Petroleum Corporation (CNPC) Managers Training Institute, Beijing, China

3. Smart Spaces Research Institute, BOSWinner Company, Ltd., Beijing, China

4. Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving, Anhui Jianzhu University, Hefei, China

5. School of Engineering, Design and Built Environment, the Western Sydney University, Sydney, NSW, Australia

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Key Research and Development Program of Anhui Province of China

Youth Talent Support Program of Beijing Municipal Education Commission

Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving

Youth Talent Project of Beijing University of Civil Engineering and Architecture

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

Reference29 articles.

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