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Clothoid fitting and geometric Hermite subdivision

Reif, Ulrich ; Weinmann, Andreas (2024)
Clothoid fitting and geometric Hermite subdivision.
In: Advances in Computational Mathematics, 2021, 47 (4)
doi: 10.26083/tuprints-00023484
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Clothoid fitting and geometric Hermite subdivision
Language: English
Date: 30 April 2024
Place of Publication: Darmstadt
Year of primary publication: 2021
Place of primary publication: Dordrecht
Publisher: Springer Science
Journal or Publication Title: Advances in Computational Mathematics
Volume of the journal: 47
Issue Number: 4
Collation: 22 Seiten
DOI: 10.26083/tuprints-00023484
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

We consider geometric Hermite subdivision for planar curves, i.e., iteratively refining an input polygon with additional tangent or normal vector information sitting in the vertices. The building block for the (nonlinear) subdivision schemes we propose is based on clothoidal averaging, i.e., averaging w.r.t. locally interpolating clothoids, which are curves of linear curvature. To this end, we derive a new strategy to approximate Hermite interpolating clothoids. We employ the proposed approach to define the geometric Hermite analogues of the well-known Lane-Riesenfeld and four-point schemes. We present numerical results produced by the proposed schemes and discuss their features.

Uncontrolled Keywords: Geometric Hermite subdivision, Non-linear subdivision, Circle-preserving scheme, Clothoid fitting, 2D curve design
Identification Number: Artikel-ID: 50
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-234847
Additional Information:

Mathematics Subject Classification 2010: 68U07 · 65D17

Classification DDC: 500 Science and mathematics > 510 Mathematics
Divisions: 04 Department of Mathematics > Applied Geometry
Date Deposited: 30 Apr 2024 12:44
Last Modified: 03 Sep 2024 06:35
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23484
PPN: 521044707
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