Instance Segmentation and 3D Multi-Object Tracking for Autonomous Driving

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Tübingen, Universität Tübingen, Dissertation, 2023

Keyword: Objekterkennung
Autonomes Fahrzeug
Maschinelles Lernen
Bildsegmentierung
Merkmalsextraktion
Szenenanalyse
Visuelles System

Event: Veröffentlichung

(where): Tübingen

(who): Universitätsbibliothek Tübingen

(when): 2023

Creator: Benbarka, Nuri

Contributor: Zell, Andreas

URN: urn:nbn:de:bsz:21-dspace-1409304

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 2025-03-25T13:51:20+0100

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Associated

Benbarka, Nuri
Zell, Andreas
Universitätsbibliothek Tübingen

Time of origin

2023

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Instance Segmentation and 3D Multi-Object Tracking for Autonomous Driving

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Time of origin

Other Objects (12)

Machine Learning for Instance Segmentation

Scalable Instance Segmentation for Microscopy

Temporal Data Processing for 3D Object Detection in Autonomous Driving

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Visual Perception for Autonomous Driving

Sound Processing for Autonomous Driving

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Machine Learning for Instance Segmentation

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Learning Instance Segmentation from Sparse Supervision

Security in autonomous driving

Special issue autonomous driving

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Visual Perception for Autonomous Driving

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Machine Learning for Instance Segmentation

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Visual Perception for Autonomous Driving

Sound Processing for Autonomous Driving

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