20.500.12556/RUL-128903 Optično zaznavanje lokacije in orientacije zaznaval pospeškov z uporabo ArUco Optical detection of the accelerometers location and orientation using ArUco markers 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. 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. meritve lokacije/orientacije strojni vid ArUco OpenCV kalibracija kamere pose estimation computer vision ArUco OpenCV camera calibration true false false [M. Demšar] Slovenski jezik Angleški jezik Zaključna naloga 2021-08-13 08:30:28 2021-08-13 08:30:30 2022-09-07 04:17:33 0000-00-00 00:00:00 2021 0 Ljubljana 0 XIII, 39 str. 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 1970-01-01 004.9:531.7:681.5(043.2) 230960 73002499 7339.pdf 7339.pdf 1 3B0A05308513857782E75AF738D8DA73 c3e48e0885dfd727b8b7d838a3a21eebe8f4334242df16072331b9190f94de94 c348588f-fbff-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=145808 Fakulteta za strojništvo 0 0 0