2019
DOI: 10.1016/j.measurement.2019.03.031
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Effects of core position uncertainty on optical shape sensor accuracy

Abstract: Optical fiber sensors are now widely recognized as extremely reliable instruments to sense strain. Optical shape sensors consist of multiple single-core optical fibers or multicore optical fibers capable of sensing bending direction and curvature by comparing the longitudinal strain of different cores in an instrumented section and reconstructing the sensor shape.This paper describes a study on the effects of core position errors on the precision of optical shape sensors when measuring strain, bending directio… Show more

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Cited by 22 publications
(11 citation statements)
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References 35 publications
(59 reference statements)
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“…Standard deviation is defined by the parameter σ, which typifies normal distribution. It is widely recognized that true sensing data falls within the normal distribution pattern [18][19][20]. Indeed, a study of 29,000 items of GPS data collected by Devon et al [21] and real-time gesture recognition achieved by the pose tracking accuracy of the Microsoft Kinect 2 reported by Wang et al [22] both follow normal distribution patterns.…”
Section: Application Modelmentioning
confidence: 99%
“…Standard deviation is defined by the parameter σ, which typifies normal distribution. It is widely recognized that true sensing data falls within the normal distribution pattern [18][19][20]. Indeed, a study of 29,000 items of GPS data collected by Devon et al [21] and real-time gesture recognition achieved by the pose tracking accuracy of the Microsoft Kinect 2 reported by Wang et al [22] both follow normal distribution patterns.…”
Section: Application Modelmentioning
confidence: 99%
“…The most widely used configurations for shape sensing are: triangular with three outer cores [165], [166], square with four outer cores [167], [168], and hexagonal with one central core and six outer core [166] (typical configuration for MCFs). The more cores are exploited, the higher is the accuracy of the shape sensor at the equal value of core spacing (core-tocore distance) [169]. Besides, some studies investigated the multi-sensitive capability of shape sensors for simultaneously detecting the interaction forces between the instrument and the surrounding environment, while reconstructing shape [170], [171].…”
Section: ) Tool Shapingmentioning
confidence: 99%
“…The coefficients of the plane can be equated by minimising the Sum of Squared Errors (SSE), as shown in the following Equations [31]:…”
Section: Shape Reconstructionmentioning
confidence: 99%