Evidence map›Paper›PMID 41157510›Full record

ArticleSensors (Basel, Switzerland)2025

Binocular Stereo Vision-Based Structured Light Scanning System Calibration and Workpiece Surface Measurement Accuracy Analysis.

Xinbo Zhang, Li Luo, Rui Ma, Yuexue Wang, Shi Xie, Hao Zhang, Yiqing Zou, Xiaohao Wang, Xinghui Li

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xinbo ZhangTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.ORCID 0009-0008-3596-4316
Li LuoTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Rui MaTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Yuexue WangEquipment Technology Research Institute, Liuzhou OVM Machinery Co., Ltd., Liuzhou 545006, China.
Shi XieEquipment Technology Research Institute, Liuzhou OVM Machinery Co., Ltd., Liuzhou 545006, China.
Hao ZhangEquipment Technology Research Institute, Liuzhou OVM Machinery Co., Ltd., Liuzhou 545006, China.
Yiqing ZouEquipment Technology Research Institute, Liuzhou OVM Machinery Co., Ltd., Liuzhou 545006, China.
Xiaohao WangTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Xinghui LiTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.

Funding

Shenzhen Natural Science Foundation JCYJ20240813112003005
6 · The paper itself

Abstract

Precise online measurement of large structural components is urgently needed in modern manufacturing and intelligent construction, requiring a measurement range over 1 m, near-millimeter accuracy, second-level measurement speed, and adaptability to complex environments. In this paper, three mainstream measurement technologies, namely the image method, line laser scanning method, and structured light method, are comparatively analyzed. The structured light method exhibits remarkable comprehensive advantages in terms of accuracy and speed; however, it suffers from the issue of occlusion during contour measurement. To tackle this problem, multi-camera stitching is employed, wherein the accuracy of camera calibration plays a crucial role in determining the quality of point cloud stitching. Focusing on the cable tightening scenario of meter-diameter cables in cable-stayed bridges, this study develops a contour measurement system based on the collaboration of multiple structured light cameras. Measurement indicators are optimized through modeling analysis, system construction, and performance verification. During verification, four structured light scanners were adopted, and measurements were repeated 11 times for the test workpieces. Experimental results demonstrate that although the current measurement errors have not yet been stably controlled within the millimeter level, this research provides technical exploration and practical experience for high-precision measurement in the field of intelligent construction, thus laying a solid foundation for subsequent accuracy improvement.

Indexed as

large structural component measurementmeasurement accuracymulti-camera calibrationpoint cloud stitchingstructured light

Identifiers

PMID41157510
PMCPMC12567711

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.