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Optično zaznavanje lokacije in orientacije zaznaval pospeškov z uporabo ArUco
ID Demšar, Matija (Author), ID Čepon, Gregor (Mentor) More about this mentor... This link opens in a new window

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Abstract
Sodobni razvoj stremi k tihim izdelkom, kar zahteva poznavanje njihovih dinamskih lastnosti. Te lahko določimo z uporabo metod dinamskega podstrukturiranja, ki temelji na meritvah s pospeškomeri s točno znanimi lokacijami. Razvili smo nov način samodejnega določanja lokacij in orientacij pospeškomerov s pomočjo strojnega vida in ArUco markerjev. Zasnovali smo več različnih metod z različnimi tipi in številom markerjev. Natančnost metod smo analizirali na laboratorijski strukturi. Razvita metoda omogoča zanesljive meritve lokacije in orientacije merilnih zaznaval, s čimer ponuja široko paleto uporabnosti v aplikacijah strukturne dinamike.

Language:Slovenian
Keywords:meritve lokacije/orientacije, strojni vid, ArUco, OpenCV, kalibracija kamere
Work type:Final paper
Typology:2.11 - Undergraduate Thesis
Organization:FS - Faculty of Mechanical Engineering
Place of publishing:Ljubljana
Publisher:[M. Demšar]
Year:2021
Number of pages:XIII, 39 str.
PID:20.500.12556/RUL-128903 This link opens in a new window
UDC:004.9:531.7:681.5(043.2)
COBISS.SI-ID:73002499 This link opens in a new window
Publication date in RUL:13.08.2021
Views:932
Downloads:130
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Secondary language

Language:English
Title:Optical detection of the accelerometers location and orientation using ArUco markers
Abstract:
Modern research is focused on quiet products, which requires the knowledge of their dynamic properties. These can be determined by methods of dynamic substructuring, which are based on the response measurment in a prefedined location. We developed a new technique for automatic determination of the location and orientation of accelerometers using computer vision and ArUco markers. Multiple variations of method parameters with different types and numbers of markers were proposed. Their accuracy was analysed on a test structure. The method has proven to be efficient and accurate and can be used to determine the sensor position in the field of structural dynamics.

Keywords:pose estimation, computer vision, ArUco, OpenCV, camera calibration

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