A Three-Dimensional Laser Scanning-Based Method for Dimensional Inspection of Large-Scale High-Speed Railway Precast Box Girders

We present a 3D laser-scanning method for the fast, accurate dimensional inspection of large high-speed-rail precast box girders. The pipeline uses low-pass filtering plus sequential registration to suppress noise, and voxel filtering with curvature-aware enhancement to reduce point cloud size by 3–5× while preserving key geometry. Reconstruction employs K-nearest-neighbors and PCA to detect boundaries and curvature jumps, B-spline fitting with moving least squares for surface completion, and CSS corner detection to extract key dimensions at millimeter precision. Field tests report absolute errors ≤ 2.0 mm versus manual measurement, validating the method for automated, digital acceptance.

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Publication Details

Journal
Sensors
Published
2026-06-08
DOI
https://doi.org/10.3390/s26123657
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
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article

A Three-Dimensional Laser Scanning-Based Method for Dimensional Inspection of Large-Scale High-Speed Railway Precast Box Girders

Shihao Dou, Kang Chen, Zhang Zhiguo, Zhang Shaopeng
Sensors
3D Surveying and Cultural Heritage
article

A Three-Dimensional Laser Scanning-Based Method for Dimensional Inspection of Large-Scale High-Speed Railway Precast Box Girders

Shihao Dou, Kang Chen, Zhang Zhiguo, Zhang Shaopeng
article en

Abstract

We present a 3D laser-scanning method for the fast, accurate dimensional inspection of large high-speed-rail precast box girders. The pipeline uses low-pass filtering plus sequential registration to suppress noise, and voxel filtering with curvature-aware enhancement to reduce point cloud size by 3–5× while preserving key geometry. Reconstruction employs K-nearest-neighbors and PCA to detect boundaries and curvature jumps, B-spline fitting with moving least squares for surface completion, and CSS corner detection to extract key dimensions at millimeter precision. Field tests report absolute errors ≤ 2.0 mm versus manual measurement, validating the method for automated, digital acceptance.

SensorsVol. 26(12)
China Railway Design Corporation (China) (CN), Shijiazhuang Tiedao University (CN)
Sustainable cities and communities
Openalex Percentile: Top 4%
3D Surveying and Cultural Heritage
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