Real-time 3D Shape Sensing with a Random Fiber Bragg Grating Triplet

Jacynthe Francoeur; Anthony Roberge; Pierre Lorre; Frédéric Monet; Cory Wright; Samuel Kadoury; Raman Kashyap; Raman Kashyap

doi:10.1364/SENSORS.2022.SM2C.2

Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES)
Technical Digest Series (Optica Publishing Group, 2022),
paper SM2C.2
•https://doi.org/10.1364/SENSORS.2022.SM2C.2

Real-time 3D Shape Sensing with a Random Fiber Bragg Grating Triplet

Jacynthe Francoeur, Anthony Roberge, Pierre Lorre, Frédéric Monet, Cory Wright, Samuel Kadoury, and Raman Kashyap

Optical Sensors 2022

Vancouver, British Columbia Canada
11–15 July 2022
ISBN: 978-1-957171-10-4

From the session
Distributed and Gratings-Based Fibre Sensors (SM2C)

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J. Francoeur, A. Roberge, P. Lorre, F. Monet, C. Wright, S. Kadoury, and R. Kashyap, "Real-time 3D Shape Sensing with a Random Fiber Bragg Grating Triplet," in Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES), Technical Digest Series (Optica Publishing Group, 2022), paper SM2C.2.

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Abstract

Using an optical frequency domain reflectometry (OFDR) technique, real-time 3D shape sensing of simple and complex bends with an extruded optical fiber triplet with enhanced backscatter power is demonstrated.

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