Deep Reinforcement Learning based Automated UAV Path Planning Model for Worker Safety Monitoring in Construction-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning based Automated UAV Path Planning Model for Worker Safety Monitoring in Construction

Published:2023-12-29 Issue:4 Volume:2 Page:17-24
ISSN:2800-0552
Container-title:Journal of Construction Automation and Robotics
language:en
Short-container-title:Journal of Construction Automation and Robotics

Author:

Kim Dohyeong¹,Jung Yuna²,Lee Dongmin³

Affiliation:

1. Ph. D. Student, School of Architecture & Building Sciences, Chung-Ang University

2. Undergraduate Research Student, School of Architecture & Building Sciences, Chung-Ang University

3. Corresponding Author, Member, Assistant Professor, School of Architecture & Building Sciences, Chung-Ang University

Publisher

Korean Society of Automation and Robotics in Construction

Link

https://www.jcar.or.kr/articles/pdf/doi/10.55785/JCAR.2.4.17.pdf

Reference9 articles.

1. The effectiveness of an integrated BIM/UAV model in managing safety on construction sites

2. Falls from heights: A computer vision-based approach for safety harness detection

3. Build reinforcement learning AI process for cooperative play with users

4. IMU based Smart Safety Hook for Fall Prevention at Construction Sites

5. Construction Work-Stage-Based Rule Compliance Monitoring Framework Using Computer Vision (CV) Technology

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