Fully automatic structural deformation measurement using point clouds: validation on a multispan continuous rigid-frame bridge

February 23, 2026Sensor Review

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Key Points

The research aims to create a fully automatic system for accurately measuring bridge deformations using point clouds from laser scanning.
Developed a deformation measurement method using intensity-augmented Gaussian filtering for noise suppression.
Implemented a new fast boundary extraction algorithm for enhanced speed and robustness.
Utilized an exhaustive-search-based corner point detection method for accurate localization of cross-sections.
Employed a normal-vector-guided alignment extraction algorithm to reconstruct elevation profiles.
Validated on a multispan continuous rigid-frame bridge with precise cross-sectional dimensions reconstructed.
Achieved an average root mean square error of 3 cm for pier reconstructions.
Detected a midspan deformation of 6 mm, meeting serviceability limit-state standards.

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Develops a method to efficiently measure bridge deformation, indicating potential advancements in bridge inspection technologies.

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Wang et al. (2026) studied this question.

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