Simultaneous Tracking and Shape Estimation of Extended Objects
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.
| Zugehörige Institution(en) am KIT | Fakultät für Informatik – Institut für Anthropomatik (IFA) |
| Publikationstyp | Hochschulschrift |
| Publikationsjahr | 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 |
| Umfang | XII, 162 S. |
| Serie | Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory ; 13 |
| Art der Arbeit | Dissertation |
| Fakultät | Fakultät für Informatik (INFORMATIK) |
| Institut | Fakultät für Informatik – Institut für Anthropomatik (IFA) |
| Prüfungsdaten | 18.01.2013 |
| Schlagwörter | Tracking, shape estimation, extended objects, nonlinear state estimation |
| Referent/Betreuer | Hanebeck, U. |