Environment modeling for automated driving using grid-based and object-based representations

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISBN: 9783941543737

Extent: Online-Ressource

Language: Englisch

Notes: Ulm, Universität Ulm, Dissertation, 2023

Bibliographic citation: Schriftenreihe des Instituts für Mess-, Regel- und Mikrotechnik ; 46

Keyword: Objektverfolgung
Multisensor
Objekterkennung
Zustandsschätzung
Fahrerassistenzsystem
Datenfusion
Maschinelles Lernen
Autonomes Fahrzeug
Datenfusion
Bayes-Netz

Event: Veröffentlichung

(where): Ulm

(who): Universität Ulm

(when): 2023

Creator: Gies, Fabian

DOI: 10.18725/OPARU-49730

URN: urn:nbn:de:bsz:289-oparu-49806-5

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:48 PM CET

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Gies, Fabian
Universität Ulm

Time of origin

2023

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Environment modeling for automated driving using grid-based and object-based representations

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Other Objects (12)

Grid-based object tracking

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Keypoint-based object segmentation

Catallaxy-based grid markets

Content-Based 3D Object Retrieval

Object-based Multibaseline SAR Interferometry

Geographic object based image analysis

Grid-based object tracking

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A Review of Testing Object-Based Environment Perception for Safe Automated Driving

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Keypoint-based object segmentation

Catallaxy-based grid markets

Content-Based 3D Object Retrieval

Object-based Multibaseline SAR Interferometry

Geographic object based image analysis

Grid-based object tracking

Grid-based object tracking

Object contrast determination based on peripheral Vision undernight-time driving conditions

A Review of Testing Object-Based Environment Perception for Safe Automated Driving

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Content-Based 3D Object Retrieval

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