Synthetic Simulated Data for Construction Automation: A Review-Reference-Cited by-同舟云学术

Synthetic Simulated Data for Construction Automation: A Review

Published:2024-03-18 Issue: Volume:126 Page:527-536
ISSN:
Container-title:Construction Research Congress 2024
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Author:

Xu Liqun¹²³⁴⁵,Liu Hexu¹²³⁴⁵,Xiao Bo¹²³⁴⁵,Luo Xiaowei¹²³⁴⁵,Zhu Zhenhua¹²³⁴⁵

Affiliation:

1. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin–Madison, Madison, WI.

2. Assistant Professor, Dept. of Civil and Construction Engineering, Western Michigan Univ., Kalamazoo, MI.

3. Assistant Professor, Dept. of Civil, Environmental, and Geospatial Engineering, Michigan Technological Univ., Houghton, MI.

4. Associate Professor, Dept. of Architecture and Civil Engineering, City Univ. of Hong Kong, Hong Kong, China.

5. Mortenson Company Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin–Madison, Madison, WI.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485262.054

Reference39 articles.

1. Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges

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3. Abufadda, M., and Mansour, K. (2021). A Survey of Synthetic Data Generation for Machine Learning. In 2021 22nd International Arab Conference on Information Technology (ACIT), Muscat, Oman: IEEE, 1–7.

4. A survey on data-efficient algorithms in big data era;Adadi A.;J. Big Data,2021

5. Ahmad, S., Samarawickrama, K., Rahtu, E., and Pieters, R. (2021). Automatic Dataset Generation From CAD for Vision-Based Grasping. In 2021 20th International Conference on Advanced Robotics (ICAR), Ljubljana, Slovenia: IEEE, 715–721.