Drone-based displacement measurement of infrastructures utilizing phase information

Shien Ri (), Jiaxing Ye (), Nobuyuki Toyama and Norihiko Ogura
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Shien Ri: National Institute of Advanced Industrial Science and Technology (AIST)
Jiaxing Ye: National Institute of Advanced Industrial Science and Technology (AIST)
Nobuyuki Toyama: National Institute of Advanced Industrial Science and Technology (AIST)
Norihiko Ogura: CORE Institute of Technology Corporation

Nature Communications, 2024, vol. 15, issue 1, 1-8

Abstract: Abstract Drone-based inspections provide an efficient and flexible approach to assessing aging infrastructures while prioritizing safety. Here, we present a pioneering framework that employs drone cameras for high-precision displacement measurement and achieves sub-millimeter accuracy, meeting the requirements for on-site inspections. Inspired by the principles of human auditory equilibrium, we have developed an effective scheme using a group of strategical reference markers on the bridge girders to measure structural displacements in the bridge. Our approach integrates the phase-based sampling moiré technique with four degrees-of-freedom geometric modeling to accurately delineate the desired bridge displacements from camera motion-induced displacements. The proposed scheme demonstrates favorable precision with accuracy reaching up to 1/100th of a pixel. Real-world validations further confirmed the reliability and efficiency of this technique, making it a practical tool for bridge displacement measurement. Beyond its current applications, this methodology holds promise as a foundational element in shaping the landscape of future autonomous infrastructure inspection systems.

Date: 2024
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DOI: 10.1038/s41467-023-44649-2

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