A Benchmark Data Set for Vision-Based Traffic Load Monitoring in a Cable-Stayed Bridge-Reference-Cited by-同舟云学术

A Benchmark Data Set for Vision-Based Traffic Load Monitoring in a Cable-Stayed Bridge

Published:2024-02 Issue:2 Volume:29 Page:
ISSN:1084-0702
Container-title:Journal of Bridge Engineering
language:en
Short-container-title:J. Bridge Eng.

Author:

Ge Liangfu¹,Dan Danhui²^ORCID,Sadhu Ayan³^ORCID

Affiliation:

1. School of Civil Engineering, Tongji Univ., 1239 Siping Rd., Shanghai 200092, China; Dept. of Civil and Environmental Engineering, Western Univ., London, ON N6A 3K7, Canada.

2. School of Civil Engineering, Tongji Univ., 1239 Siping Rd., Shanghai 200092, China; Key Laboratory of Performance Evolution and Control for Engineering Structures of Ministry of Education, Tongji Univ., 1239 Siping Rd., Shanghai 200092, China (corresponding author). ORCID: .

3. Dept. of Civil and Environmental Engineering, Western Univ., London, ON N6A 3K7, Canada. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JBENF2.BEENG-6336

Reference33 articles.

1. Unique Truck Loads on Interstates in Wyoming and Similar States and the Impact on Bridge Safety Design

2. Identification of spatio-temporal distribution of vehicle loads on long-span bridges using computer vision technology

3. The Cityscapes Dataset for Semantic Urban Scene Understanding

4. Identification of moving loads based on the information fusion of weigh-in-motion system and multiple camera machine vision

5. Digital Twin System of Bridges Group Based on Machine Vision Fusion Monitoring of Bridge Traffic Load

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