Context-Aware Deep Learning Model for 3D Human Motion Prediction in Human-Robot Collaborative Construction-Reference-Cited by-同舟云学术

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Context-Aware Deep Learning Model for 3D Human Motion Prediction in Human-Robot Collaborative Construction

Published:2024-01-25 Issue: Volume:83 Page:479-487
ISSN:
Container-title:Computing in Civil Engineering 2023
language:
Short-container-title:

Author:

Liang Xiaoyun¹²¹³⁴,Sheng Lin¹²¹³⁴,Cai Jiannan¹²¹³⁴,Li Shuai¹²¹³⁴,Shi Yangming¹²¹³⁴

Affiliation:

1. School of Civil & Environmental Engineering, and Construction Management, Univ. of Texas at San Antonio.

2. Dept. of Electrical and Computer Engineering, Univ. of Texas at San Antonio.

3. Dept. of Civil and Environmental Engineering, Univ. of Tennessee, Knoxville.

4. Dept. of Civil, Construction, and Environmental Engineering, Univ. of Alabama.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485224.058

Reference16 articles.

1. Alahi A. Goel K. Ramanathan V. Robicquet A. Fei-Fei L. and Savarese S. (2016). Social LSTM: Human Trajectory Prediction in Crowded Spaces. 961–971. https://openaccess.thecvf.com/content_cvpr_2016/html/Alahi_Social_LSTM_Human_CVPR_2016_paper.html.

2. The future of construction automation: Technological disruption and the upcoming ubiquity of robotics

3. A context-augmented deep learning approach for worker trajectory prediction on unstructured and dynamic construction sites

4. Cui Q. Sun H. and Yang F. (2020). Learning Dynamic Relationships for 3D Human Motion Prediction. 6519–6527. https://openaccess.thecvf.com/content_CVPR_2020/html/Cui_Learning_Dynamic_Relationships_for_3D_Human_Motion_Prediction_CVPR_2020_paper.html.

5. Dörfler, K., Sandy, T., Giftthaler, M., Gramazio, F., Kohler, M., and Buchli, J. (2016). Mobile Robotic Brickwork. In D. Reinhardt, R. Saunders, & J. Burry (Eds.), Robotic Fabrication in Architecture, Art and Design 2016 (pp. 204–217). Springer International Publishing. https://doi.org/10.1007/978-3-319-26378-6_15.

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