Objektsensitive Verfolgung und Klassifikation von Fußgängern mit verteilten Multi-Sensor-Trägern
State estimation of an unknown number of objects remains a challenging topic - despite the existence of theoretically bayes-optimal multi-object-filters - due to numerous assumptions in the modeling process. This thesis evaluates such filters in real multi-object-multi-sensor scenarios and proposes...
Furkejuvvon:
| Váldodahkki: | |
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| Materiálatiipa: | Elektrovnnalaš Girjji oassi |
| Almmustuhtton: |
KIT Scientific Publishing
2016
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| Ráidu: | Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
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| Fáttát: | |
| Liŋkkat: | DOAB: download the publication DOAB: description of the publication |
| Fáddágilkorat: |
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Interneahtta
DOAB: download the publicationDOAB: description of the publication
3rd Floor Main Library
| Hildobáiki: |
A1234.567 |
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| Njađus 1 | Oažžumis |