Using Image Mapping to Analyze Moving Vehicle Weight on Bridges

Shaodong Zhan, Meng Chen, Zhi Li, Guanglie Zhang

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

1 Citation (Scopus)

Abstract

In this paper, we propose a novel Bridge Weight-In-Motion (B-WIM) detection method based on the bridge deck vibration signal analysis with the image mapping algorithm. The algorithm maps the vibration signals into 8-Bit grayscale images and then uses image sharpness to detect B-WIM in single-vehicle tests. The result shows that the proposed method can effectively estimate B-WIM.
Original languageEnglish
Title of host publicationThe 7th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems
PublisherIEEE
Pages53-56
ISBN (Electronic)978-1-5386-0490-8
ISBN (Print)978-1-5386-0491-5
DOIs
Publication statusPublished - Jul 2017
Externally publishedYes
Event7th Annual IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2017) - Sheraton Princess Kaiulani, Hawaii, United States
Duration: 31 Jul 20174 Aug 2017
http://ieee-cyber.org/2017/

Publication series

NameIEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER

Conference

Conference7th Annual IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2017)
Abbreviated titleIEEE-CYBER 2017
Country/TerritoryUnited States
CityHawaii
Period31/07/174/08/17
Internet address

Research Keywords

  • Bridge Weight-In-Motion
  • image mapping
  • vibration analysis

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