Hochschulschrift
Fully bayesian vehicle tracking using extended object models
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783941543454
- Maße
-
24 cm
- Umfang
-
XV, 173 Seiten
- Sprache
-
Englisch
- Anmerkungen
-
Illustrationen
Universität Ulm, Dissertation, 2019
- Erschienen in
-
Schriftenreihe des Instituts für Mess-, Regel- und Mikrotechnik / Universität Ulm ; Band 30
- Klassifikation
-
Ingenieurwissenschaften und Maschinenbau
Elektrotechnik, Elektronik
- Schlagwort
-
Objektverfolgung
Umweltwahrnehmung
Autonomes Fahrzeug
Maschinelles Lernen
Radar
Lidar
- Ereignis
-
Veröffentlichung
- (wo)
-
Ulm
- (wer)
-
Universität Ulm, Institut für Mess-, Regel- und Mikrotechnik
- (wann)
-
2019
- Urheber
- Inhaltsverzeichnis
- Rechteinformation
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Letzte Aktualisierung
-
11.06.2025, 14:10 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Objekttyp
- Hochschulschrift
Beteiligte
- Scheel, Alexander
- Universität Ulm, Institut für Mess-, Regel- und Mikrotechnik
Entstanden
- 2019
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