Collision Risk Warning Model for Construction Vehicles Based on YOLO and DeepSORT Algorithms-Reference-Cited by-同舟云学术

Collision Risk Warning Model for Construction Vehicles Based on YOLO and DeepSORT Algorithms

Published:2024-06 Issue:6 Volume:150 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Zhang Fan¹,Liu Hongbo²^ORCID,Chen Zhihua³,Wang Longxuan¹,Zhang Qian⁴,Guo Liulu⁵

Affiliation:

1. Ph.D. Student, State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin Univ., Tianjin 300072, PR China.

2. Doctorial Supervisor and Professor, School of Civil Engineering, Tianjin Univ., Tianjin 300072, PR China (corresponding author). ORCID: .

3. Doctorial Supervisor and Professor, School of Civil Engineering, Tianjin Univ., Tianjin 300072, PR China.

4. Senior Engineer, Engineering Technology Research Institute, China Construction Sixth Engineering Bureau Corp., LTD., Tianjin 300072, PR China.

5. Research Assistant, School of Civil Engineering, Tianjin Univ., Tianjin 300072, PR China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JCEMD4.COENG-13860

Reference37 articles.

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2. Intelligent data fusion system for predicting vehicle collision warning using vision/GPS sensing

3. An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System

4. Real-time detection algorithm of helmet and reflective vest based on improved YOLOv5;Chen Z.;J. Real-Time Image Process.,2023

5. Comparison of fatal occupational injuries in construction industry in the United States, South Korea, and China