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  4. Vol 11, Issue 2, 2026

Research on Calibration Method of Novel Rotating Laser Profilometer

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DOI: 10.23977/jemm.2026.110201 | Downloads: 6 | Views: 111

Author(s)

Yanyu Ding 1,2, Zhenhao Zhang 1,2, Dongyang Feng 1,2, Xiaojun Zhao 1,2

Affiliation(s)

1 Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry & Food Machinery and Equipment, Tianjin University of Science and Technology, Tianjin, 300457, China
2 College of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China

Corresponding Author

Zhenhao Zhang

ABSTRACT

To address the issues of multi-pose movement errors, uneven distribution of sampling points, and insufficient fitting accuracy associated with planar targets in rotary line-structured laser 3D scanning, this paper proposes an optimized light plane calibration method and target structure. Firstly, by comparing the calibration principles of planar targets, trapezoidal spatial targets, and spatial multi-planar calibration targets, a Spatial Multi-planar Calibration Target is developed to achieve single-frame synchronized acquisition at multiple depths. The covariance matrix is optimized through full-field point array constraints to enhance the accuracy of light plane fitting. Secondly, a hierarchical calibration-based installation error compensation method is established, utilizing the PnP algorithm to solve the pose relationship between sub-panels and the baseplate, thereby eliminating height and tilt deviations caused by machining and assembly. MATLAB simulation results demonstrate that the spatial multi-planar structure exhibits superior noise suppression, with a 20% improvement in the consistency of normal vector estimation. Experimental tests using standard gauge blocks and ceramic spheres show that the Mean Absolute Error of linear measurement is less than 0.0924 mm, and the measurement uncertainty within a 300 mm range is better than 0.1 mm. These results indicate that the optimized calibration method and error compensation strategy significantly improve the system's measurement accuracy and stability, meeting the requirements of industrial 3D inspection.

KEYWORDS

Line laser scanning; Light plane calibration; Multi-plane spatial calibration target; Error compensation; 3D Measurement

CITE THIS PAPER

Yanyu Ding, Zhenhao Zhang, Dongyang Feng, Xiaojun Zhao. Research on Calibration Method of Novel Rotating Laser Profilometer. Journal of Engineering Mechanics and Machinery (2026). Vol. 11, No. 2, 1-11. DOI: http://dx.doi.org/10.23977/jemm.2026.110201.

REFERENCES

[1] Ha V T, Do V P, Lee B R, Calibration method of a three-dimensional scanner based on a line laser projector and a camera with 1-axis rotating mechanism[J]. Optical Engineering. 2024, 63(5): 033101.
[2] Gao H, Xu G, Ma Z. A Novel Calibration Method of Line Structured Light Plane Using Spatial Geometry[J]. Sensors, 2023, 23(13): 5929.
[3] Li T, Liu C, Duan F, Fu X, Niu G., Liang C, Chen A, A light plane calibration method of line-structured light sensors based on unified extrinsic parameters estimation, Optics and Lasers in Engineering. 188 (2025) 108925.
[4] Li X, Zhang W, Song G, Calibration Method for Line-Structured Light Three-Dimensional Measurement Based on a Simple Target, Photonics. 9 (2022) 218.
[5] Zhu Z, Liu H, Zhang J, et al. Calibration method of line-structured light sensors based on a hinge-connected target with arbitrary pinch angles[J]. Applied Optics, 2023, 62(7): 1695–1703.
[6] Li C, Xu X, Ren Z, et al. Research on Calibration Method of Line-Structured Light Based on Multiple Geometric Constraints[J]. Applied Sciences, 2023, 13(10): 5998.
[7] Zhao X, Li T, Yang Z, A novel method to calibrate the rotation axis of a line-structured light 3-dimensional measurement system, Optics and Lasers in Engineering. 164 (2023) 107496.
[8] Carmignato S, Gebhardt M, Kruth J P. Uncertainty evaluation in dimensional measurements by laser triangulation[J]. CIRP Annals - Manufacturing Technology, 2020, 69(1): 485-488.
[9] Ling Y, Wang Y, Chan T O. RANSAC-Based Planar Point Cloud Segmentation Enhanced by Normal Vector and Maximum Principal Curvature Clustering[J]. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2024, 145–151.
[10] Gestel N V, Cuypers S, Bleys P, et al. Systematic error compensation for laser line scanners based on calibration artefacts[J]. Precision Engineering, 2021, 72: 538-549.
[11] Zhao J, Cheng Y, Cai G, He S, Liao L, Wu G, Yang L, Feng C, A Calibration Method for a Self-Rotating, Linear-Structured-Light Scanning, Three-Dimensional Reconstruction System Based on Plane Constraints, Sensors. 21 (2021) 8359.
[12] Zhao H, Liu X, Wang S, Diao K, Luo C. Calibration method of a three-dimensional scanner based on a line laser projector and a camera with 1-axis rotating mechanism[J]. Optical Engineering, 2024, 63(3): 033101.
[13] Guo X, Li J, Peng Y, et al. Three-Dimensional-Scanning of Pipe Inner Walls Based on Line Laser[J]. Sensors, 2024, 24(11): 3620.
[14] Li C, Fang C, Zhang X. Automated line scan profilometer based on the surface recognition method[J]. Optics and Lasers in Engineering, 2024, 182: 108464.
[15] Wang R, Li C, Li H, Wang Y, Huang Z, Rotation Scanning and Double Precision System for Three-Dimensional Geometric On-Machine Measurement, Measurement. (2025) 117581.

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