Review of "Modeling of Plane Curve Reconstruction Algorithm Based on Fiber Optic Sensors"
For the problem of reconstructing planar curves using algorithms based on fiber optic sensors,the curvature at the sensor's position is estimated using the relationship between wavelength and curvature.The cubic spline interpolation algorithm is used to obtain more accurate curvature values,and the slope recursive model or differential equation model is then used to estimate the coordinates of the planar curve.Furthermore,equidistant sampling is performed on the known curves before reconstructing the curve equation,and the effectiveness of the reconstruction algorithm is evaluated using the norm.Finally,the overall situation of the papers submitted by students for Problem C in the 2024 Huazhongbei Mathematical Modeling Challenge is briefly reviewed.
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