Leveraging sparse and dense features for reliable state estimation in urban environments

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Universität Freiburg, Dissertation, 2019

Keyword: Deep learning
Lokalisation
Robotik
Maschinelles Lernen
Mustererkennung
Maschinelles Sehen
Bildsegmentierung
Neuronales Netz
Künstliche Intelligenz

Event: Veröffentlichung

(where): Freiburg

(who): Universität

(when): 2019

Creator: Radwan, Noha

Contributor: Burgard, Wolfram
Albert-Ludwigs-Universität Freiburg. Fakultät für Angewandte Wissenschaften

DOI: 10.6094/UNIFR/149856

URN: urn:nbn:de:bsz:25-freidok-1498567

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:51 PM CET

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2019

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Leveraging sparse and dense features for reliable state estimation in urban environments

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