Identification of a scaled-model riser dynamics through a combined computer vision and adaptive Kalman filter approach (2014)
- Authors:
- USP affiliated authors: TRIGO, FLAVIO CELSO - EP ; MARTINS, FLAVIUS PORTELLA RIBAS - EP ; FLEURY, AGENOR DE TOLEDO - EP ; SILVA JUNIOR, HELIO CORREA DA - EP
- Unidade: EP
- DOI: 10.1016/j.ymssp.2014.01.001
- Subjects: FILTROS DE KALMAN; VISÃO COMPUTACIONAL; TUBOS FLEXÍVEIS
- Language: Inglês
- Imprenta:
- Source:
- Título: Mechanical Systems and Signal Processing
- ISSN: 0888-3270
- Volume/Número/Paginação/Ano: v. 43, n. 1/2 p. 124-140, May 2014
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
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: 05 out. 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.2014.01.001 -
NLM
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 out. 05 ] Available from: http://ac.els-cdn.com/S0888327013005086/1-s2.0-S0888327013005086-main.pdf?_tid=99b123f6-6e78-11e4-9c44-00000aacb362&acdnat=1416242678_8edb2b93efaf957d6356cd12da75ea2d -
Vancouver
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 out. 05 ] Available from: http://ac.els-cdn.com/S0888327013005086/1-s2.0-S0888327013005086-main.pdf?_tid=99b123f6-6e78-11e4-9c44-00000aacb362&acdnat=1416242678_8edb2b93efaf957d6356cd12da75ea2d - Application of computer vision and Kalman filtering technniques to identifity oil flames nebulization quality
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Informações sobre o DOI: 10.1016/j.ymssp.2014.01.001 (Fonte: oaDOI API)
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