Automatic Identification of Idling Reasons in Excavation Operations Based on Excavator–Truck Relationships-Reference-Cited by-同舟云学术

Automatic Identification of Idling Reasons in Excavation Operations Based on Excavator–Truck Relationships

Published:2021-09 Issue:5 Volume:35 Page:04021015
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Chen Chen¹,Zhu Zhenhua²,Hammad Amin³,Akbarzadeh Mohammad¹

Affiliation:

1. Dept. of Building, Civil and Environmental Engineering, Concordia Univ., 1515 Sainte-Catherine St. West, Montreal, QC, Canada H3G 2W1.

2. Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin-Madison, Madison, WI 53706.

3. Professor, Concordia Institute for Information Systems Engineering, Concordia Univ., 1515 Sainte-Catherine St. West, Montreal, QC, Canada H3G 2W1 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000981

Reference41 articles.

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3. Fusion of Photogrammetry and Video Analysis for Productivity Assessment of Earthwork Processes

4. Automated excavators activity recognition and productivity analysis from construction site surveillance videos

5. Dai J. Y. Li K. He and J. Sun. 2016. “R-FCN: Object detection via region-based fully convolutional networks.” In Proc. Advances in Neural Information Processing Systems 379–387. San Diego: Neural Information Processing Systems.

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