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...

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Detaylı Bibliyografya
Yazar: Pallauf, Johannes (auth)
Materyal Türü: Elektronik Kitap Bölümü
Baskı/Yayın Bilgisi: KIT Scientific Publishing 2016
Seri Bilgileri:Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
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Online Erişim:DOAB: download the publication
DOAB: description of the publication
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