The Development of a Rebar-Counting Model for Reinforced Concrete Columns: Using an Unmanned Aerial Vehicle and Deep-Learning Approach-Reference-Cited by-同舟云学术

The Development of a Rebar-Counting Model for Reinforced Concrete Columns: Using an Unmanned Aerial Vehicle and Deep-Learning Approach

Author:

Wang Seunghyeon¹,Kim Mincheol²,Hae Hyeonyong³,Cao Mengqiu⁴^ORCID,Kim Juhyung⁵^ORCID

Affiliation:

1. Lecturer, Dept. of Architectural Engineering, Hanyang Univ., Seungdong-Gu, Seoul 133791, Korea.

2. Researcher, Dept. of Architectural Engineering, Hanyang Univ., Seungdong-Gu, Seoul 133791, Korea.

3. Research Fellow, AI Lab, IGAWORKS, Mapo-Gu, Seoul 04036, Korea.

4. Senior Lecturer, School of Architecture and Cities, Univ. of Westminster, London NW1 5LS, UK. ORCID:

5. Professor, Dept. of Architectural Engineering, Hanyang Univ., Seungdong-Gu, Seoul 133791, Korea (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

Reference33 articles.

2. Chen K. et al. 2019. MMDetection: Open MMLab detection toolbox and benchmark.” Preprint submitted June 17 2019. http://arxiv.org/abs/1906.07155.

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