Hybrid calibration procedure for structured light field system

Peng, Shuo; Dong, Liquan; Zhai, Yayu; Zhang, Shaohui; Hu, Yao; Hao, Qun

doi:10.1016/j.optlaseng.2022.107089

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…The constraints (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13) are combined to obtain the objective function expressed using the nonlinear least-squares method:…”

Section: Optimisation Model For Calibrationmentioning

confidence: 99%

“…Therefore, to achieve networked measurements, the local coordinates of the measurement units must be unified [10]. The accuracy of network measurements depends largely on the accuracy of the coordinate unification of the multiple measurement units [11,12]. The traditional method of coordinate unification involves the deployment of multiple transfer station control points with known coordinates in the measurement space, where each measurement unit establishes constraints based on the coordinates of the control points [13,14].…”

Section: Introductionmentioning

confidence: 99%

“…are the coordinates of the marker point on the sth and nth transmitters in CS-q, respectively, and d sn is the distance between the two marker points measured by the ALPS. Moreover, when the rotation matrix is expressed in the form of equation(3)(4)(5)(6)(7)(8)(9)(10)(11)(12), its orthogonality constraint is expressed by equation (3-13):…”

mentioning

confidence: 99%

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Distributed measurement system calibration method with automatic networking mechanism

Zhang,

Liu

et al. 2024

Meas. Sci. Technol.

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This paper presents a new method that balances accuracy and efficiency in the process of coordinate unification for distributed measurement systems. The method unifies the local coordinate systems of any two measuring units by installing a measuring point on the unit as a marker point and measuring the marker points between them in the working area, combined with the distance between the marker points. Moreover, it enables automatic networking of newly added or moved measurement units with the original measurement network, thereby further improving the efficiency of the dynamic measurements made using the system. The key factors affecting the accuracy of calibration achieved using this method were analysed via simulations. The results indicate that the accuracy of length measurement using the proposed methods is within 0.1 mm/m when the measurement units are distributed among the four corners of a rectangle with an area of 50 m2 or more. The experiments indicate that four measurement units calibrated using this method over an area of 35 m2 achieve an accuracy of within 0.2 mm/m and 0.1 mm standard deviations for length and three-dimensional coordinate measurements, respectively. Compared with traditional coordinate-unification methods, the proposed method simplifies the calibration process, improves the calibration efficiency by more than 10 times, and significantly reduces the calibration time. It is universally applicable in the calibration of large-space distributed measurement systems.

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“…The constraints (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13) are combined to obtain the objective function expressed using the nonlinear least-squares method:…”

Section: Optimisation Model For Calibrationmentioning

confidence: 99%