Hochschulschrift
User-oriented cockpits for automated driving : a framework for the technical specification of test environments
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Dimensions
-
31 cm
- Extent
-
v, 190 Seiten
- Language
-
Englisch
- Notes
-
Illustrationen
Technische Universität Ilmenau, Dissertation, 2022
- Classification
-
Ingenieurwissenschaften und Maschinenbau
- Table of contents
- Rights
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Last update
-
11.06.2025, 1:55 PM CEST
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
Time of origin
- [2022?]
Other Objects (12)
Pedestrian Environment Model for Automated Driving
Energy management system for automated driving
Macroscopic Safety Requirements for Highly Automated Driving
Select legal considerations for shared automated driving
Crowdsourced HD map learning & maintenance for automated driving
Scenario interpretation for automated driving at urban intersections
Online perception with machine learning for automated driving
Traffic Data Evaluation for Automated Driving Handover Scenarios
Context Aware Data Reduction for Highly Automated Driving
Generalized Reinforcement Learning for Automated Driving under Uncertainty
Highly precise MEMS gyroscopes for fully automated driving
Defining object detection requirements for safe automated driving
Pedestrian Environment Model for Automated Driving
Energy management system for automated driving
Macroscopic Safety Requirements for Highly Automated Driving
Select legal considerations for shared automated driving
Crowdsourced HD map learning & maintenance for automated driving
Scenario interpretation for automated driving at urban intersections
Online perception with machine learning for automated driving
Traffic Data Evaluation for Automated Driving Handover Scenarios
Context Aware Data Reduction for Highly Automated Driving
Generalized Reinforcement Learning for Automated Driving under Uncertainty
Highly precise MEMS gyroscopes for fully automated driving
Defining object detection requirements for safe automated driving
Pedestrian Environment Model for Automated Driving
Energy management system for automated driving
Macroscopic Safety Requirements for Highly Automated Driving
Select legal considerations for shared automated driving
Crowdsourced HD map learning & maintenance for automated driving
Scenario interpretation for automated driving at urban intersections
Online perception with machine learning for automated driving
Traffic Data Evaluation for Automated Driving Handover Scenarios
Context Aware Data Reduction for Highly Automated Driving
Generalized Reinforcement Learning for Automated Driving under Uncertainty
Highly precise MEMS gyroscopes for fully automated driving