Source: Mechanical Systems and Signal Processing. Unidade: EP
Subjects: FILTROS DE KALMAN, VISÃO COMPUTACIONAL, TUBOS FLEXÍVEIS
ABNT
TRIGO, Flávio Celso et al. Identification of a scaled-model riser dynamics through a combined computer vision and adaptive Kalman filter approach. Mechanical Systems and Signal Processing, v. 43, n. 1/2 p. 124-140, 2014Tradução . . Disponível em: http://ac.els-cdn.com/S0888327013005086/1-s2.0-S0888327013005086-main.pdf?_tid=99b123f6-6e78-11e4-9c44-00000aacb362&acdnat=1416242678_8edb2b93efaf957d6356cd12da75ea2d. Acesso em: 18 nov. 2024.APA
Trigo, F. C., Martins, F. P. R., Fleury, A. de T., & Silva Junior, H. C. da. (2014). Identification of a scaled-model riser dynamics through a combined computer vision and adaptive Kalman filter approach. Mechanical Systems and Signal Processing, 43( 1/2 p. 124-140). doi:10.1016/j.ymssp.2014.01.001NLM
Trigo FC, Martins FPR, Fleury A de T, Silva Junior HC da. Identification of a scaled-model riser dynamics through a combined computer vision and adaptive Kalman filter approach [Internet]. Mechanical Systems and Signal Processing. 2014 ; 43( 1/2 p. 124-140):[citado 2024 nov. 18 ] Available from: http://ac.els-cdn.com/S0888327013005086/1-s2.0-S0888327013005086-main.pdf?_tid=99b123f6-6e78-11e4-9c44-00000aacb362&acdnat=1416242678_8edb2b93efaf957d6356cd12da75ea2dVancouver
Trigo FC, Martins FPR, Fleury A de T, Silva Junior HC da. Identification of a scaled-model riser dynamics through a combined computer vision and adaptive Kalman filter approach [Internet]. Mechanical Systems and Signal Processing. 2014 ; 43( 1/2 p. 124-140):[citado 2024 nov. 18 ] Available from: http://ac.els-cdn.com/S0888327013005086/1-s2.0-S0888327013005086-main.pdf?_tid=99b123f6-6e78-11e4-9c44-00000aacb362&acdnat=1416242678_8edb2b93efaf957d6356cd12da75ea2d