A Deep-Learning Classification Framework for Reducing Communication Errors in Dynamic Hand Signaling for Crane Operation-Reference-Cited by-同舟云学术

A Deep-Learning Classification Framework for Reducing Communication Errors in Dynamic Hand Signaling for Crane Operation

Published:2023-02 Issue:2 Volume:149 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Mansoor Asif¹^ORCID,Liu Shuai²,Ali Ghulam Muhammad¹^ORCID,Bouferguene Ahmed³,Al-Hussein Mohamed⁴^ORCID

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 116 St. & 85 Ave., Edmonton, AB, Canada T6G 2R3. ORCID: .

2. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 116 St. & 85 Ave., Edmonton, AB, Canada T6G 2R3 (corresponding author).

3. Professor, Campus Saint-Jean, Univ. of Alberta, 8406 Rue Marie-Anne Gaboury, Edmonton, AB, Canada T6G 2R3.

4. Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 116 St. & 85 Ave., Edmonton, AB, Canada T6G 2R3. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

https://ascelibrary.org/doi/pdf/10.1061/JCEMD4.COENG-12811

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4. Bochkovskiy A. C. Wang and H. M. Liao. 2020. “YOLOv4: Optimal speed and accuracy of object detection.” Preprint submitted April 23 2020. https://arxiv.org/abs/2004.10934.

5. Image Noise Models

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