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Raffel, Markus; Willert, Christian; Scarano, Fulvio; Kähler, Christian J.; Wereley, Steven T.; Kompenhans, Jürgen

doi:10.1007/978-3-319-68852-7_19

Particle Image Velocimetry 2018

DOI: 10.1007/978-3-319-68852-7_19

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Markus Raffel¹,

Christian Willert²,

Fulvio Scarano³

et al.

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2020

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Modeling the Deformation of the Aerodynamic Surface to Estimate the Error of the Photogrammetric Algorithm

Poroykov

Ilina

Shmatko

2020

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2

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In-flight measurements are one of the directions of aircraft testing which has been developed actively recently. Creation of a flight laboratory based on an unmanned vehicle to reduce the cost of developing and analysis techniques for in-flight measurements is proposed. For the laboratory an onboard system for recording experimental images during a flight was developed. It was decided to conduct computer modeling of images that can be obtained using the developed system for its verification. Unity a cross-platform photorealistic graphic engine with visual integrated development environment was chosen for this purpose. For modeling both external and internal real camera parameters, including distortion coefficients, and parameters of the measured surface could be preassigned. The developed methodology for computer modeling of images of the deformable surface allows to evaluate the accuracy of various algorithms for processing experimental images, as well as the influence of the parameters of the experimental setup on the error of the measurements results.

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Modeling the Deformation of the Aerodynamic Surface to Estimate the Error of the Photogrammetric Algorithm

Poroykov

Ilina

Shmatko

2020

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2

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show abstract

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Cited by 1 publication

References 27 publications

Modeling the Deformation of the Aerodynamic Surface to Estimate the Error of the Photogrammetric Algorithm

Modeling the Deformation of the Aerodynamic Surface to Estimate the Error of the Photogrammetric Algorithm

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