Deep Learning Methods for Vehicle Localization and Control under Challenging Conditions
- Alternative title
-
Deep-Learning-Methoden für die Fahrzeuglokalisierung und -steuerung unter anspruchsvollen Bedingungen
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
München, Technische Universität München, Dissertation, 2023
- Keyword
-
Maschinelles Lernen
Maschinelles Sehen
Autonomes Fahrzeug
Deep learning
Merkmalsextraktion
Objekterkennung
- Event
-
Veröffentlichung
- (where)
-
München
- (who)
-
Universitätsbibliothek der TU München
- (when)
-
2023
- Creator
-
Wenzel, Patrick M.
- Contributor
- URN
-
urn:nbn:de:bvb:91-diss-20230725-1692819-1-9
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:44 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.
Associated
- Wenzel, Patrick M.
- Cremers, Daniel
- Burgard, Wolfram
- Universitätsbibliothek der TU München
Time of origin
- 2023
Other Objects (12)
Robust monocular camera-based localization under challenging perceptual conditions
Visual localization in challenging environments
Deep learning on point clouds with applications in vehicle self-localization
Deep learning on point clouds with applications in vehicle self-localization
Deep Learning Meets Visual Localization
Efficient methods for high resolution localization in challenging physical environments
Vehicle self-localization using high-precision digital maps
Extraction, localization, and fusion of collective vehicle data
Under Challenging Conditions. Development Coorperation in Fragile States
Vehicle localization with enhanced robustness for urban automated driving
Adult vultures outperform juveniles in challenging thermal soaring conditions
Vehicle localization using 3D building models and point cloud matching
Robust monocular camera-based localization under challenging perceptual conditions
Visual localization in challenging environments
Deep learning on point clouds with applications in vehicle self-localization
Deep learning on point clouds with applications in vehicle self-localization
Deep Learning Meets Visual Localization
Efficient methods for high resolution localization in challenging physical environments
Vehicle self-localization using high-precision digital maps
Extraction, localization, and fusion of collective vehicle data
Under Challenging Conditions. Development Coorperation in Fragile States
Vehicle localization with enhanced robustness for urban automated driving
Adult vultures outperform juveniles in challenging thermal soaring conditions
Vehicle localization using 3D building models and point cloud matching
Robust monocular camera-based localization under challenging perceptual conditions
Visual localization in challenging environments
Deep learning on point clouds with applications in vehicle self-localization
Deep learning on point clouds with applications in vehicle self-localization
Deep Learning Meets Visual Localization
Efficient methods for high resolution localization in challenging physical environments
Vehicle self-localization using high-precision digital maps
Extraction, localization, and fusion of collective vehicle data
Under Challenging Conditions. Development Coorperation in Fragile States
Vehicle localization with enhanced robustness for urban automated driving
Adult vultures outperform juveniles in challenging thermal soaring conditions