Shape Sensing with Fiber Bragg Grating Sensors
Fiber optical sensors such as Fiber Bragg Grating (FBG) are more and more used for shape sensing of medical instruments. Estimating the shape via measured wavelengths is difficult and underlies a long pipeline of calculations with many different sources of errors. In this work we introduce a novel approach for more realistic interpolation of curvature used in subsequently applied reconstruction algorithms. We demonstrate and compare our method to others based on simulation of different types of shapes. Furthermore, we evaluated our approach in a real world experiment with measured FBGs data.
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