zaključna naloga Univerzitetnega študijskega programa I. stopnje Strojništvo - Razvojno raziskovalni program
Matija Demšar (Author), Gregor Čepon (Mentor)

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.

Keywords

diplomske naloge;meritve lokacije/orientacije;strojni vid;ArUco;OpenCV;kalibracija kamere;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FS - Faculty of Mechanical Engineering
Publisher: [M. Demšar]
UDC: 004.9:531.7:681.5(043.2)
COBISS: 73002499 Link will open in a new window
Views: 379
Downloads: 93
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Other data

Secondary language: English
Secondary title: Optical detection of the accelerometers location and orientation using ArUco markers
Secondary 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.
Secondary keywords: thesis;pose estimation;computer vision;ArUco;OpenCV;camera calibration;
Type (COBISS): Final paper
Study programme: 0
Embargo end date (OpenAIRE): 1970-01-01
Thesis comment: Univ. v Ljubljani, Fak. za strojništvo
Pages: XIII, 39 f.
ID: 13240388