- Alternative title
-
Dokumentation und Kartierung mittels 3D-Punktwolkenverarbeitung
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Würzburg, Universität Würzburg, Dissertation, 2017
- Bibliographic citation
-
Würzburger Forschungsberichte in Robotik und Telematik ; 12
- Keyword
-
3D Punktwolke
Robotik
Registrierung
- Event
-
Veröffentlichung
- (where)
-
Würzburg
- (who)
-
Universität Würzburg
- (when)
-
2017
- Creator
-
Houshiar, Hamidreza
- Contributor
- URN
-
urn:nbn:de:bvb:20-opus-144493
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:52 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
- Houshiar, Hamidreza
- Nüchter, Andreas
- Brenner, Claus
- Universität Würzburg
Time of origin
- 2017
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Methods of Point Cloud Alignment with Applications to 3D Indoor Mapping and Localization
Multi-modal 3D mapping - Combining 3D point clouds with thermal and color information
Point Cloud Processing for Environmental Analysis in Autonomous Driving using Deep Learning
Concepts and techniques for processing and rendering of massive 3D point clouds
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TLS Point Cloud Registration
Documentation and mapping with 3D point cloud processing
Efficient point-cloud processing with primitive shapes
Efficient point-cloud processing with primitive shapes
Online surface reconstruction from unorganized point clouds with integrated texture mapping
Classification and Change Detection in Mobile Mapping LiDAR Point Clouds
Point mapping stability
Methods of Point Cloud Alignment with Applications to 3D Indoor Mapping and Localization
Multi-modal 3D mapping - Combining 3D point clouds with thermal and color information
Point Cloud Processing for Environmental Analysis in Autonomous Driving using Deep Learning
Concepts and techniques for processing and rendering of massive 3D point clouds
Point cloud processing for environmental analysis in autonomous driving using deep learning