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Transformation matrices for 3D shape sensing with polyimide-coated multicore optical fiber. / Paloschi, Davide; Korganbayev, Sanzhar; Bronnikov, Kirill и др.
2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. стр. 250-254 9138221 (2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings).
Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Harvard
Paloschi, D, Korganbayev, S, Bronnikov, K, Wolf, A, Dostovalov, A & Saccomandi, P 2020,
Transformation matrices for 3D shape sensing with polyimide-coated multicore optical fiber. в
2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings., 9138221, 2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., стр. 250-254, 2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020, Roma, Италия,
03.06.2020.
https://doi.org/10.1109/MetroInd4.0IoT48571.2020.9138221APA
Paloschi, D., Korganbayev, S., Bronnikov, K., Wolf, A., Dostovalov, A., & Saccomandi, P. (2020).
Transformation matrices for 3D shape sensing with polyimide-coated multicore optical fiber. в
2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings (стр. 250-254). [9138221] (2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc..
https://doi.org/10.1109/MetroInd4.0IoT48571.2020.9138221Vancouver
Paloschi D, Korganbayev S, Bronnikov K, Wolf A, Dostovalov A, Saccomandi P.
Transformation matrices for 3D shape sensing with polyimide-coated multicore optical fiber. в 2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. стр. 250-254. 9138221. (2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings). doi: 10.1109/MetroInd4.0IoT48571.2020.9138221
Author
Paloschi, Davide ; Korganbayev, Sanzhar ; Bronnikov, Kirill и др. /
Transformation matrices for 3D shape sensing with polyimide-coated multicore optical fiber. 2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. стр. 250-254 (2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings).
BibTeX
@inproceedings{0a4fbcb72f2c4222a150713bacdeeed7,
title = "Transformation matrices for 3D shape sensing with polyimide-coated multicore optical fiber",
abstract = "This paper presents a three-dimensional shape-reconstructing algorithm applied on a shape sensing system based on a polyimide-coated 7-core optical fiber. Fiber optic-based shape sensing consists in numerically evaluating the strains applied to the fiber in order to identify useful spatial parameters such as the curvature radii defining its shape. Multicore fibers are preferable since they can also provide information regarding the direction of bending. The proposed method relies on the homogeneous transformation matrices normally used in robotics, which can express the position of a point in different frames, i.e. from local to global coordinates. The results are shown for both a two-dimensional and a three-dimensional configuration, achieving an average relative error of 0.23% and 0.19% of the total length respectively. The small computation time (0.0023 s) makes this algorithm suitable for real-time shape reconstructions in a variety of engineering fields.",
keywords = "fiber Bragg gratings, homogeneous transformation matrix, multicore, optical fiber, shape sensing, three-dimensional",
author = "Davide Paloschi and Sanzhar Korganbayev and Kirill Bronnikov and Alexey Wolf and Alexander Dostovalov and Paola Saccomandi",
year = "2020",
month = jun,
day = "1",
doi = "10.1109/MetroInd4.0IoT48571.2020.9138221",
language = "English",
series = "2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "250--254",
booktitle = "2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings",
address = "United States",
note = "2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 ; Conference date: 03-06-2020 Through 05-06-2020",
}
RIS
TY - GEN
T1 - Transformation matrices for 3D shape sensing with polyimide-coated multicore optical fiber
AU - Paloschi, Davide
AU - Korganbayev, Sanzhar
AU - Bronnikov, Kirill
AU - Wolf, Alexey
AU - Dostovalov, Alexander
AU - Saccomandi, Paola
PY - 2020/6/1
Y1 - 2020/6/1
N2 - This paper presents a three-dimensional shape-reconstructing algorithm applied on a shape sensing system based on a polyimide-coated 7-core optical fiber. Fiber optic-based shape sensing consists in numerically evaluating the strains applied to the fiber in order to identify useful spatial parameters such as the curvature radii defining its shape. Multicore fibers are preferable since they can also provide information regarding the direction of bending. The proposed method relies on the homogeneous transformation matrices normally used in robotics, which can express the position of a point in different frames, i.e. from local to global coordinates. The results are shown for both a two-dimensional and a three-dimensional configuration, achieving an average relative error of 0.23% and 0.19% of the total length respectively. The small computation time (0.0023 s) makes this algorithm suitable for real-time shape reconstructions in a variety of engineering fields.
AB - This paper presents a three-dimensional shape-reconstructing algorithm applied on a shape sensing system based on a polyimide-coated 7-core optical fiber. Fiber optic-based shape sensing consists in numerically evaluating the strains applied to the fiber in order to identify useful spatial parameters such as the curvature radii defining its shape. Multicore fibers are preferable since they can also provide information regarding the direction of bending. The proposed method relies on the homogeneous transformation matrices normally used in robotics, which can express the position of a point in different frames, i.e. from local to global coordinates. The results are shown for both a two-dimensional and a three-dimensional configuration, achieving an average relative error of 0.23% and 0.19% of the total length respectively. The small computation time (0.0023 s) makes this algorithm suitable for real-time shape reconstructions in a variety of engineering fields.
KW - fiber Bragg gratings
KW - homogeneous transformation matrix
KW - multicore
KW - optical fiber
KW - shape sensing
KW - three-dimensional
UR - http://www.scopus.com/inward/record.url?scp=85088873069&partnerID=8YFLogxK
U2 - 10.1109/MetroInd4.0IoT48571.2020.9138221
DO - 10.1109/MetroInd4.0IoT48571.2020.9138221
M3 - Conference contribution
AN - SCOPUS:85088873069
T3 - 2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings
SP - 250
EP - 254
BT - 2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020
Y2 - 3 June 2020 through 5 June 2020
ER -
