An Iterative Method Based on the Marginalized Particle Filter for Nonlinear B-Spline Data Approximation and Trajectory Optimization
The B-spline function representation is commonly used for data approximation and trajectory definition, but filter-based methods for nonlinear weighted least squares (NWLS) approximation are restricted to a bounded definition range. We present an algorithm termed nonlinear recursive B-spline approxi...
Main Authors: | Jens Jauch, Felix Bleimund, Michael Frey, Frank Gauterin |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/7/4/355 |
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