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A Three-Dimensional Laser Scanning-Based Method for Dimensional Inspection of Large-Scale High-Speed Railway Precast
Zhiguo Zhang1, Shihao Dou1, Shaopeng Zhang2
1School of Civil Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, China.
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.
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