Assessing the Viability of Generative AI-Created Construction Scaffolding for Deep Learning-Based Image Segmentation-Reference-Cited by-同舟云学术

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Assessing the Viability of Generative AI-Created Construction Scaffolding for Deep Learning-Based Image Segmentation

Published:2024-02-16 Issue: Volume:3 Page:38-43
ISSN:
Container-title:2024 1st International Conference on Robotics, Engineering, Science, and Technology (RESTCON)
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Author:

Saovana Natthapol¹,Khosakitchalert Chavanont²

Affiliation:

1. King Mongkut's University of Technology North Bangkok,Faculty of Industrial Technology and Management,Department of Construction Design and Management,Prachin Buri,Thailand

2. Chulalongkorn University,Faculty of Architecture,Architectural Technology Research Unit, Department of Architecture,Bangkok,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10463532/10463547/10463583.pdf?arnumber=10463583

Reference25 articles.

1. Discrete Firefly Algorithm for Scaffolding Construction Scheduling

2. Identification of accident scenarios involving scaffolding

3. Fall Prevention from Scaffolding Using Computer Vision and IoT-Based Monitoring

4. Deep learning-based 3D reconstruction of scaffolds using a robot dog

5. A Quantitative Evaluation Of Rough Ground Truth Labeling On Construction Scaffolding Image Segmentation;Saovana

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