The uncertainty analysis of bridge displacement in computer vision

被引:4
作者
Wen, Haifeng [1 ,2 ]
Dong, Peize [3 ]
Dong, Ruikun [1 ,2 ]
机构
[1] Chongqing Univ, Minist Educ, Key Lab New Technol Construct Cities Mt Area, Chongqing 400045, Peoples R China
[2] Chongqing Univ, Sch Civil Engn, Chongqing 400045, Peoples R China
[3] Coll William & Mary, Williamsburg, VA 23186 USA
关键词
Computer vision; Measurement; Uncertainty; Bridge; Feature point; Displacement; IDENTIFICATION; SYSTEM;
D O I
10.1016/j.measurement.2023.113559
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Computer vision is commonly employed to measure the displacement of bridge structures. However, changes in environments often lead to poor data reproducibility. The uncertainty is an important parameter associated with the results, representing the dispersion of the data. This paper mainly discusses the uncertainty of measurement utilizing computer vision. The fundamental formula of measurement is derived from the principle of the pinhole camera model, followed by calculations of the uncertainty as well as a detailed analysis and deduction of the components that affect the uncertainty of measurement (e.g. pitch angle, deviation angle, observation distance, temperature, humidity). Both laboratory and on-site experiments have shown that the uncertainty model is more applicable than error estimation. In addition, the variation law of the uncertainty is revealed under the combination of different angles, laying a solid foundation for accurate measurement in the future.
引用
收藏
页数:14
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