Particle filtering for computer vision-based identification of frame model parameters

• Autorzy: Tekieli M. , Słoński M.
• Języki publikacji: EN

Abstrakty

EN

In this paper we present a new approach for solving identification problems based on a novel combination of computer vision techniques, Bayesian state estimation and finite element method. Using our approach we solved two identification problems for a laboratory-scale aluminum frame. In the first problem, we recursively estimated the elastic modulus of the frame material. In the second problem, for the known elastic constant, we identified sequentially the position of a quasi-static concentrated load.

Słowa kluczowe

EN

identification problems; Bayesian state estimation; particle filtering; computer vision; digital image correlation; finite element method

PL

problemy identyfikacji; oszacowanie stanu Bayesa; filtrowanie cząstek; wizja komputera; cyfrowa korelacja obrazu; metoda elementów skończonych

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Methods in Engineering and Science
• Rocznik: 2014
• Tom: Vol. 21, no. 1
• Strony: 39--48
• Opis fizyczny: Bibliogr. 12 poz., il., rys., wykr.

Twórcy

autor

Tekieli M.

• Cracow University of Technology, Institute for Computational Civil Engineering Warszawska 24, 31-155 Kraków, Poland

autor

Słoński M.

• Cracow University of Technology, Institute for Computational Civil Engineering Warszawska 24, 31-155 Kraków, Poland

Bibliografia

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