Auf metrischen und differentialgeometrischen Konzepten basierende neue mathematische Algorithmen zur Sensordatenfusion mit Anwendungen in der Faser-Bragg-Gitter-Formsensorik

dc.contributor.author	Pauer, Hendrikje
dc.date.accessioned	2021-02-11T17:58:42Z
dc.date.available	2021-02-11T17:58:42Z
dc.date.issued	2021
dc.identifier	ONIX_20210211_9783731506591_75
dc.identifier.uri	https://library.oapen.org/handle/20.500.12657/46706
dc.language	German
dc.subject.classification	thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists	en_US
dc.subject.other	Flexible Robotik
dc.subject.other	Formsensorik
dc.subject.other	Faser-Bragg-Gitter
dc.subject.other	Flexible Robotics
dc.subject.other	Shape Sensing
dc.subject.other	Fiber-Bragg Grating
dc.title	Auf metrischen und differentialgeometrischen Konzepten basierende neue mathematische Algorithmen zur Sensordatenfusion mit Anwendungen in der Faser-Bragg-Gitter-Formsensorik
dc.type	book
oapen.abstract.otherlanguage	In this work a Fiber Bragg grating (FBG) shape sensor for shape detection of flexible objects is presented. Such sensors are used particularly in medical technology. Although the subject of FBG sensor technology has been investigated and advanced by research groups worldwide since the beginning of the 21st century, no sensor concept has yet been able to establish itself on the market. This work focuses on the derivation of shape sensing algorithms to improve FBG-shape sensors.
oapen.identifier.doi	10.5445/KSP/1000068886
oapen.relation.isPublishedBy	44e29711-8d53-496b-85cc-3d10c9469be9
oapen.pages	218
oapen.place.publication	Karlsruhe