Hochschulschrift

Random finite set-based localization and SLAM for highly automated vehicles

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Ulm, Universität Ulm, Dissertation, 2015

Bibliographic citation: Schriftenreihe des Instituts für Mess-, Regel- und Mikrotechnik ; Bd. 17

Keyword: Lokalisation
SLAM-Verfahren
Landmarke
Multisensor
Laserscanner
Kamera
Autonomes Fahrzeug
Automatische Kartierung

Event: Veröffentlichung

(where): Ulm

(who): Universität Ulm

(when): 2016

Creator: Deusch, Hendrik

DOI: 10.18725/OPARU-4021

URN: urn:nbn:de:bsz:289-oparu-4060-6

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:56 PM CET

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Hochschulschrift

Associated

Deusch, Hendrik
Universität Ulm

Time of origin

2016

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Random finite set-based localization and SLAM for highly automated vehicles

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Other Objects (12)

Random finite set-based localization and SLAM for highly automated vehicles

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Visual SLAM from image sequences acquired by unmanned aerial vehicles

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Efficient Visual SLAM for Autonomous Aerial Vehicles

Landmark-based Localization for Autonomous Vehicles

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Sensor fusion for localization of automated vehicles

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Feature-Based Localization Methods for Autonomous Vehicles

Radar-based self-localization for autonomous vehicles

Vision-based indoor localization via a visual slam approach

Visual SLAM from image sequences acquired by unmanned aerial vehicles

Visual SLAM from image sequences acquired by unmanned aerial vehicles

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Efficient Visual SLAM for Autonomous Aerial Vehicles

Landmark-based Localization for Autonomous Vehicles

Maneuver planning for highly automated vehicles

Sensor fusion for localization of automated vehicles

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Feature-Based Localization Methods for Autonomous Vehicles

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