Motion estimation of an aircraft model using computer vision

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dc.contributor.author Kasula, Pavithra
dc.contributor.author Whidborne, James F.
dc.contributor.author Rana, Zeeshan A.
dc.contributor.author Ishola, Ademayowa
dc.date.accessioned 2024-03-01T10:53:04Z
dc.date.available 2024-03-01T10:53:04Z
dc.date.issued 2024-01-04
dc.identifier.citation Kasula P, Whidborne J, Rana ZA, Ishola A. (2024) Motion estimation of an aircraft model using computer vision. In: AIAA SCITECH 2024 Forum 2024, 8-12 January 2024, Orlando, USA en_UK
dc.identifier.uri https://doi.org/10.2514/6.2024-2501
dc.identifier.uri https://dspace.lib.cranfield.ac.uk/handle/1826/20908
dc.description.abstract Dynamic wind tunnel tests are used to investigate the flight dynamics of aircraft. Currently contact measurement systems are used which increase friction and require on-board instrumentation. A vision-based method is proposed in this paper. The method uses a sequential process of Harris corner detection, Kanade-Lucas-Tomasi tracking, and Euler angles to identify the Euler angles from a pair of cameras, one with a top-view and the other with a side-view. The method is tested by simulating a 3D CAD model for a single degree of freedom rotational motion. The results have been quantified through numerical analysis and the proposed method is analysed analytically. The developed method is effective when integrated with another method of instrumentation such as an IMU. en_UK
dc.language.iso en en_UK
dc.publisher AIAA en_UK
dc.rights Attribution-NonCommercial 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/ *
dc.title Motion estimation of an aircraft model using computer vision en_UK
dc.type Conference paper en_UK


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