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Project Details

Title:Non-Contact 3-Component (3C) Displacement Measurements with a Dual-Stereo Vision Enabled Uncrewed Aerial System (UAS)
Principal Investigators:Yanlin Guo and Rebecca Atadero
University:Colorado State University
Grant #:69A3551747108 (FAST Act)
Project #:MPC-680
RiP #:01832317
RH Display ID:159087
Keywords:bridges, decision making, inspection, risk management


Measuring dynamic displacements is valuable for identifying dynamic properties of a bridge, abnormal patterns of structural response, and/or excessive loading. However, despite the benefit of providing critical information and maintenance guidance, displacement are typically not measured due to the logistical issues of sensor placement and maintenance and the impracticality of instrumenting contact-based sensors across all significant bridges. In this context, this project aims at developing a novel UAS-based dual stereo vision system. The system employs four total optical sensors; two cameras are directed toward a specific region of interest to capture the displacement of the bridge, while the other two cameras are aimed at a fixed reference point to track and compensate the UAS’s movement. The proposed UAS-enabled dual-stereo vision measurement technique will enable remote dynamic displacement measurement by hovering a UAS next to the structure. This MPC project is intended to provide bridge managers with a resource efficient method to provide understanding of existing asset condition so they can better plan for maintenance and renewal activities.

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