LAVOLUTION: Measurement of Non-target Structural Displacement Calibrated by Structured Light
Jongbin Won, Minhyuk Song, Gunhee Kim, Jong-Woong Park, Haemin Jeon

TL;DR
This paper introduces LAVOLUTION, a computer vision-based system that measures structural displacement remotely using structured light calibration, eliminating the need for targets and improving measurement accuracy in field conditions.
Contribution
The paper presents a novel non-target displacement measurement method using structured light calibration with a designed jig, validated through simulations and real-world experiments.
Findings
Validated with numerical simulations and lab experiments.
Achieved accurate displacement measurements on a shaking table.
Demonstrated feasibility on a full-scale bridge.
Abstract
Displacement is an important measurement for the assessment of structural conditions, but its field measurement is often hindered by difficulties associated with sensor installation and measurement accuracy. To overcome the disadvantages of conventional displacement measurement, computer vision (CV)-based methods have been implemented due to their remote sensing capabilities and accuracy. This paper presents a strategy for non-target structural displacement measurement that makes use of CV to avoid the need to install a target on the structure while calibrating the displacement using structured light. The proposed system called as LAVOLUTION calculates the relative position of the camera with regard to the structure using four equally spaced beams of structured light and obtains a scale factor to convert pixel movement into structural displacement. A jig for the four beams of structured…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOptical measurement and interference techniques · Advanced Optical Sensing Technologies · Structural Health Monitoring Techniques
