Hochschulschrift

Deep learning on point clouds with applications in vehicle self-localization

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISBN: 9783941543690

Dimensions: 24 cm

Extent: XV, 176 Seiten

Language: Englisch

Notes: Illustrationen, Diagramme
Prüfungsdatum: 03.11.2022
Universität Ulm, Dissertation, 2022

Bibliographic citation: Schriftenreihe des Instituts für Mess-, Regel- und Mikrotechnik / Universität Ulm ; Band 44

Classification: Ingenieurwissenschaften und Maschinenbau
Informatik

Keyword: Deep learning
Lokalisation
Autonomes Fahrzeug
Kartierung
Punktwolke
Maschinelles Sehen
Aufmerksamkeit
Neuronales Netz

Event: Veröffentlichung

(where): Ulm

(who): Universität Ulm, Institut für Mess-, Regel- und Mikrotechnik

(when): 2023

Creator: Engel, Nico

Contributor: Universität Ulm

Table of contents: https://d-nb.info/1292068124/04

Rights: Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.

Last update: 11.03.2025, 12:23 PM CET

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Object type

Hochschulschrift

Associated

Engel, Nico
Universität Ulm
Universität Ulm, Institut für Mess-, Regel- und Mikrotechnik

Time of origin

2023

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Vehicle localization using 3D building models and point cloud matching

Point Cloud Segmentation with Deep Reinforcement Learning

Vehicle localization by lidar point correlation improved by change detection

Deep Learning Methods for Vehicle Localization and Control under Challenging Conditions

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Active shape model precision analysis of vehicle detection in 3D lidar point clouds

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Point Cloud Processing for Environmental Analysis in Autonomous Driving using Deep Learning

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Deep learning on point clouds with applications in vehicle self-localization

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Other Objects (12)

Deep learning on point clouds with applications in vehicle self-localization

Vehicle localization using 3D building models and point cloud matching

Point Cloud Segmentation with Deep Reinforcement Learning

Vehicle localization by lidar point correlation improved by change detection

Deep Learning Methods for Vehicle Localization and Control under Challenging Conditions

Deep Learning Meets Visual Localization

Active shape model precision analysis of vehicle detection in 3D lidar point clouds

Methods of Point Cloud Alignment with Applications to 3D Indoor Mapping and Localization

Indoor localization for augmented reality devices using BIM, point clouds, and template matching

Dual-PointNet : A two-stage deep learning network for semantic segmentation of point clouds

Point Cloud Processing for Environmental Analysis in Autonomous Driving using Deep Learning

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Deep learning on point clouds with applications in vehicle self-localization

Vehicle localization using 3D building models and point cloud matching

Point Cloud Segmentation with Deep Reinforcement Learning

Vehicle localization by lidar point correlation improved by change detection

Deep Learning Methods for Vehicle Localization and Control under Challenging Conditions

Deep Learning Meets Visual Localization

Active shape model precision analysis of vehicle detection in 3D lidar point clouds

Methods of Point Cloud Alignment with Applications to 3D Indoor Mapping and Localization

Indoor localization for augmented reality devices using BIM, point clouds, and template matching

Dual-PointNet : A two-stage deep learning network for semantic segmentation of point clouds

Point Cloud Processing for Environmental Analysis in Autonomous Driving using Deep Learning

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Point Cloud Segmentation with Deep Reinforcement Learning

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Active shape model precision analysis of vehicle detection in 3D lidar point clouds

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Point Cloud Processing for Environmental Analysis in Autonomous Driving using Deep Learning

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