Automatic Indoor Construction Process Monitoring for Tiles Based on BIM and Computer Vision-Reference-Cited by-同舟云学术

Automatic Indoor Construction Process Monitoring for Tiles Based on BIM and Computer Vision

Published:2020-01 Issue:1 Volume:146 Page:04019095
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Deng Hui¹,Hong Hao²^ORCID,Luo Dehuan³,Deng Yichuan⁴^ORCID,Su Cheng⁵

Affiliation:

1. Associate Professor, School of Civil Engineering and Transportation, South China Univ. of Technology, Guangzhou, Guangdong Province 510641, China.

2. Postgraduate Student, School of Civil Engineering and Transportation, South China Univ. of Technology, Guangzhou, Guangdong Province 510641, China. ORCID:

3. Postgraduate Student, School of Civil Engineering and Transportation, South China Univ. of Technology, Guangzhou, Guangdong Province 510641, China.

4. Assistant Professor, State Key Laboratory of Subtropical Building Science, South China Univ. of Technology, Guangzhou, Guangdong Province 510641, China (corresponding author). ORCID: .

5. Professor, State Key Laboratory of Subtropical Building Science, South China Univ. of Technology, Guangzhou, Guangdong Province 510641, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0001744

Reference28 articles.

1. Automated Recognition of 3D CAD Objects in Site Laser Scans for Project 3D Status Visualization and Performance Control

2. Automated recognition of 3D CAD model objects in laser scans and calculation of as-built dimensions for dimensional compliance control in construction

3. Caputo B. E. Hayman and P. Mallikarjuna. 2005. “Class-specific material categorization.” In Vol. 1 of Proc. 10th IEEE Int. Conf. on Computer Vision (ICCV’05). New York: IEEE.

4. Reflectance and texture of real-world surfaces

5. Vision-based material recognition for automated monitoring of construction progress and generating building information modeling from unordered site image collections

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