Motion estimation of an aircraft model using computer vision

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dc.contributor.authorKasula, Pavithra
dc.contributor.authorWhidborne, James F.
dc.contributor.authorRana, Zeeshan A.
dc.contributor.authorIshola, Ademayowa
dc.date.accessioned2024-03-01T10:53:04Z
dc.date.available2024-03-01T10:53:04Z
dc.date.issued2024-01-04
dc.description.abstractDynamic 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.identifier.citationKasula 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, USAen_UK
dc.identifier.urihttps://doi.org/10.2514/6.2024-2501
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20908
dc.language.isoenen_UK
dc.publisherAIAAen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.titleMotion estimation of an aircraft model using computer visionen_UK
dc.typeConference paperen_UK

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