Automated aircraft dent inspection via a modified Fourier transform profilometry algorithm

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dc.contributor.authorLafiosca, Pasquale
dc.contributor.authorFan, Ip-Shing
dc.contributor.authorAvdelidis, Nicolas Peter
dc.date.accessioned2022-01-18T12:54:47Z
dc.date.available2022-01-18T12:54:47Z
dc.date.issued2022-01-07
dc.description.abstractThe search for dents is a consistent part of the aircraft inspection workload. The engineer is required to find, measure, and report each dent over the aircraft skin. This process is not only hazardous, but also extremely subject to human factors and environmental conditions. This study discusses the feasibility of automated dent scanning via a single-shot triangular stereo Fourier transform algorithm, designed to be compatible with the use of an unmanned aerial vehicle. The original algorithm is modified introducing two main contributions. First, the automatic estimation of the pass-band filter removes the user interaction in the phase filtering process. Secondly, the employment of a virtual reference plane reduces unwrapping errors, leading to improved accuracy independently of the chosen unwrapping algorithm. Static experiments reached a mean absolute error of ∼0.1 mm at a distance of 60 cm, while dynamic experiments showed ∼0.3 mm at a distance of 120 cm. On average, the mean absolute error decreased by ∼34%, proving the validity of the proposed single-shot 3D reconstruction algorithm and suggesting its applicability for future automated dent inspections.en_UK
dc.description.sponsorshipCranfield IVHM Centreen_UK
dc.identifier.citationLafiosca P, Fan IS, Avdelidis NP. (2022) Automated aircraft dent inspection via a modified Fourier transform profilometry algorithm, Sensors, Volume 22, Issue 2, January 2022, Article number 433en_UK
dc.identifier.eissn1424-8220
dc.identifier.issn1424-8220
dc.identifier.urihttps://doi.org/10.3390/s22020433
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/17424
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectairworthinessen_UK
dc.subjectfringe patternsen_UK
dc.subjectpinhole camera modelen_UK
dc.subjectstructured lighten_UK
dc.subjectinspectionsen_UK
dc.titleAutomated aircraft dent inspection via a modified Fourier transform profilometry algorithmen_UK
dc.typeArticleen_UK

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