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Simultaneous Tracking and Shape Estimation of Extended Objects

Baum, Marcus

Abstract:
This work is concerned with the simultaneous tracking and shape estimation of a mobile extended object based on noisy sensor measurements. Novel methods are developed for coping with the following two main challenges: i) The computational complexity due to the nonlinearity and high-dimensionality of the problem, and ii) the lack of statistical knowledge about possible measurement sources on the extended object.

Abstract (englisch):
This work is concerned with the simultaneous tracking and shape estimation of a mobile extended object based on noisy sensor measurements. Novel methods are developed for coping with the following two main challenges: i) The computational complexity due to the nonlinearity and high-dimensionality of the problem and ii) the lack of statistical knowledge about possible measurement sources on the extended object.

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Volltext §
DOI: 10.5445/KSP/1000035959
Seitenaufrufe: 75
seit 28.04.2018
Downloads: 2399
seit 30.09.2013
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Coverbild
Zugehörige Institution(en) am KIT Institut für Anthropomatik (IFA)
Publikationstyp Hochschulschrift
Jahr 2013
Sprache Englisch
Identifikator ISBN: 978-3-7315-0078-0
ISSN: 1867-3813
urn:nbn:de:0072-359590
KITopen-ID: 1000035959
Verlag KIT Scientific Publishing, Karlsruhe
Umfang XII, 162 S.
Serie Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory ; 13
Abschlussart Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Anthropomatik (IFA)
Prüfungsdaten 18.01.2013
Referent/Betreuer Prof. U. Hanebeck
Schlagworte Tracking, shape estimation, extended objects, nonlinear state estimation
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