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Game engine-driven synthetic data generation for computer vision-based safety monitoring of construction workers

  • Published:2023-11 Issue: Volume:155 Page:105060
  • ISSN:0926-5805
  • Container-title:Automation in Construction
  • language:en
  • Short-container-title:Automation in Construction

Author:

Lee Heejae,Jeon Jongmoo,Lee Doyeop,Park Chansik,Kim Jinwoo,Lee Dongmin

Funder

National Research Foundation of Korea

Ministry of Education - Singapore

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference37 articles.

1. Understanding of a convolutional neural network;Albawi,2017

2. Vision-based excavator pose estimation using synthetically generated datasets with domain randomization;Assadzadeh;Autom. Constr.,2022

3. Image augmentation to improve construction resource detection using generative adversarial networks, cut-and-paste, and image transformation techniques;Bang;Autom. Constr.,2020

4. Unity perception: Generate synthetic data for computer vision;Borkman;arXiv,2021

5. Synthesizing pose sequences from 3D assets for vision-based activity analysis;Calderon;J. Comput. Civ. Eng.,2021

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