A Deep Learning and Vision-Based Solution for Material Volume Estimation Considering Devices’ Applications-Reference-Cited by-同舟云学术

A Deep Learning and Vision-Based Solution for Material Volume Estimation Considering Devices’ Applications

Published:2024-01 Issue:1 Volume:38 Page:
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Guan Wei¹,Wang Shuai²^ORCID,Chen Zeren³,Wu Guohua⁴,Fang Yi¹,Zhang Haoyan¹,Wang Guoqiang⁵

Affiliation:

1. Ph.D. Student, School of Mechanical and Aerospace Engineering, Jilin Univ., Changchun 130025, PR China.

2. Lecturer, College of Biological and Agricultural Engineering, Jilin Univ., Changchun 130025, PR China (corresponding author). ORCID: .

3. Lecturer, College of Mechanical and Vehicle Engineering, Taiyuan Univ. of Technology, Taiyuan 030024, PR China.

4. Master’s Student, School of Mechanical and Aerospace Engineering, Jilin Univ., Changchun 130025, PR China.

5. Professor, School of Mechanical and Aerospace Engineering, Jilin Univ., Changchun 130025, PR China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JCCEE5.CPENG-5436

Reference39 articles.

1. Neural Networks in Civil Engineering: 1989–2000

2. Anwar H. S. M. Abbas A. Muhammad and K. Berns. 2014. “Volumetric estimation of contained soil using 3D sensors.” In Commercial Vehicle Technology 2014—Proc. of the Commercial Vehicle Technology Symp. (CVT) 11–13. Berlin: Springer.

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

4. Volume estimation of strawberries, mushrooms, and tomatoes with a machine vision system

5. Computer vision system for the automatic measurement of volumes of wood