Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
3D shape sensing with multicore optical fibers : Transformation Matrices Versus Frenet-Serret Equations for Real-Time Application. / Paloschi, Davide; Bronnikov, Kirill A.; Korganbayev, Sanzhar и др.
в: IEEE Sensors Journal, Том 21, № 4, 9233257, 15.02.2021, стр. 4599-4609.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - 3D shape sensing with multicore optical fibers
T2 - Transformation Matrices Versus Frenet-Serret Equations for Real-Time Application
AU - Paloschi, Davide
AU - Bronnikov, Kirill A.
AU - Korganbayev, Sanzhar
AU - Wolf, Alexey
AU - Dostovalov, Alexander
AU - Saccomandi, Paola
N1 - Publisher Copyright: © 2001-2012 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/2/15
Y1 - 2021/2/15
N2 - This paper presents the characterization of an algorithm aimed at performing accurate fiber optic-based shape sensing. The measurement of the shape relies on the evaluation of the strains applied to an optic fiber in order to identify relevant spatial parameters, such as the curvature radii and bending direction, which define its shape. The measurement system is based on a 7-core multicore fiber, containing up to 9 triplets of fiber Bragg grating sensors (FBGs) organized around a central core used as reference. The proposed study aims at comparing the widely used Frenet-Serret equations with an algorithm based on the homogeneous transformation matrices that are normally used in robotics to express the position of a point in different frames, i.e. from local to global coordinates. The numerical results of the performed experiments (with different multicore fibers and setups) extensively prove the superiority of the alternative method over the Frenet-Serret equations in terms of finding a trade-off between accuracy and execution time.
AB - This paper presents the characterization of an algorithm aimed at performing accurate fiber optic-based shape sensing. The measurement of the shape relies on the evaluation of the strains applied to an optic fiber in order to identify relevant spatial parameters, such as the curvature radii and bending direction, which define its shape. The measurement system is based on a 7-core multicore fiber, containing up to 9 triplets of fiber Bragg grating sensors (FBGs) organized around a central core used as reference. The proposed study aims at comparing the widely used Frenet-Serret equations with an algorithm based on the homogeneous transformation matrices that are normally used in robotics to express the position of a point in different frames, i.e. from local to global coordinates. The numerical results of the performed experiments (with different multicore fibers and setups) extensively prove the superiority of the alternative method over the Frenet-Serret equations in terms of finding a trade-off between accuracy and execution time.
KW - Fiber Bragg grating
KW - Frenet-Serret
KW - Homogeneous transformation matrix
KW - Multicore optical fiber
KW - Performance
KW - Shape sensing
KW - Three-dimensional
KW - performance
KW - three-dimensional
KW - multicore optical fiber
KW - homogeneous transformation matrix
KW - fiber Bragg grating
UR - http://www.scopus.com/inward/record.url?scp=85096446072&partnerID=8YFLogxK
U2 - 10.1109/JSEN.2020.3032480
DO - 10.1109/JSEN.2020.3032480
M3 - Article
AN - SCOPUS:85096446072
VL - 21
SP - 4599
EP - 4609
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
SN - 1530-437X
IS - 4
M1 - 9233257
ER -
ID: 26082336