Video-Based Motion Trajectory Forecasting Method for Proactive Construction Safety Monitoring Systems-Reference-Cited by-同舟云学术

Video-Based Motion Trajectory Forecasting Method for Proactive Construction Safety Monitoring Systems

Published:2020-11 Issue:6 Volume:34 Page:04020041
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Tang Shuai¹^ORCID,Golparvar-Fard Mani²,Naphade Milind³,Gopalakrishna Murali M.⁴

Affiliation:

1. Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana–Champaign, 205 North Mathews Ave., Urbana, IL 61801 (corresponding author). ORCID: .

2. Associate Professor of Civil Engineering, Computer Science and Technology Entrepreneurship, Univ. of Illinois at Urbana–Champaign, 205 North Mathews Ave., Urbana, IL 61801.

3. Chief Technology Officer, Metropolis, Nvidia Corporation, 2788 San Tomas Expressway, Santa Clara, CA 95051.

4. Head of Product Management, Autonomous Machines, Nvidia Corporation, 2788 San Tomas Expressway, Santa Clara, CA 95051.

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.1943-5487.0000923

Reference74 articles.

1. Alahi A. K. Goel V. Ramanathan A. Robicquet L. Fei-Fei and S. Savarese. 2016. “Social LSTM: Human trajectory prediction in crowded spaces.” In Proc. IEEE Conf. on Computer Vision and Pattern Recognition 961–971. New York: IEEE. https://doi.org/10.1109/CVPR.2016.110.

2. Semantic Enrichment of Spatio-temporal Trajectories for Worker Safety on Construction Sites

3. Wearable technology for personalized construction safety monitoring and trending: Review of applicable devices