Video-Sensor Data Fusion for Enhanced Structural Monitoring

Lattanzi, David; Ghyab, M; Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS) (UTC); George Mason University

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Video-Sensor Data Fusion for Enhanced Structural Monitoring

2022-04-28
By Lattanzi, David ; Ghyab, M

[PDF-1.10 MB]

English

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Details:

Creators:

Lattanzi, David ; Ghyab, M

Lattanzi, David ; Ghyab, M Less -
Corporate Creators:

Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS) (UTC) ; George Mason University

Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS) (UTC) ; George Mason University Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Data Fusion Detection And Identification Systems Monitoring Sensors Video Based Monitoring Video Cameras
Publication/ Report Number:

CIAM-COR-R25
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report
Corporate Publisher:

Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS) (UTC)
Abstract:

Engineers have used sensor arrays to monitor the behavior and condition of infrastructure systems for decades. These arrays are typically attached or embedded within a structure and provide localized measurements of a system’s response. While these sensors are highly accurate, they have well-known practical limitations. One drawback is that most sensors only provide optimal measurements near defects, locations that are difficult to know a priori [1]–[3] This is compounded by the fact that the costs and practicalities of sensor array maintenance limit the implementation of the widespread and dense sensor networks necessary to overcome this issue.
Format:

PDF
Funding:

69A3551847103
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha-512:81d654c226523658dac6ed7fbf841af4e913a0e452cf48f710edf1917df4d894409ecac70ea9363edeedf5e04345bbcefb7eed5bcf4754c8c756dfbcb665e275
Download URL:

https://rosap.ntl.bts.gov/view/dot/78190/dot_78190_DS1.pdf
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Video-Sensor Data Fusion for Enhanced Structural Monitoring

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