- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Keyword
-
Segmentierung
- Event
-
Veröffentlichung
- (where)
-
Chemnitz, Chemnitz
- (who)
-
Technische Universität Chemnitz, Technische Universität Chemnitz
- (when)
-
2020
- Creator
-
Ngo, Quang Thanh
- Contributor
- URN
-
urn:nbn:de:bsz:ch1-qucosa2-731119
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:54 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
- Ngo, Quang Thanh
- Hardt, Wolfram
- Lindner, Philipp
- Technische Universität Chemnitz, Technische Universität Chemnitz
Time of origin
- 2020
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Validating Machine Learning-based Highly Automated Driving Functions by Diversity
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Video-Based Environment Perception for Automated Driving using Deep Neural Networks
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Object-level fusion for surround environment perception in automated driving applications
Reliability Analysis of Multi-Sensor Perception Systems of Automated Driving Functions
A Review of Testing Object-Based Environment Perception for Safe Automated Driving
Essential properties for safe behaviour of a perception function in automated driving
A Review of Testing Object-Based Environment Perception for Safe Automated Driving
Virtual Sensorics: Simulated Environmental Perception for Automated Driving Systems
Safety Assessment of Environment Perception in Automated Driving Vehicles
Comfort in Automated Driving : Analysis of Driving Style Preference in Automated Driving
Validating Machine Learning-based Highly Automated Driving Functions by Diversity
Traffic Scene Perception for Automated Driving with Top-View Grid Maps
Video-Based Environment Perception for Automated Driving using Deep Neural Networks
Object-level fusion for surround environment perception in automated driving applications
Object-level fusion for surround environment perception in automated driving applications
Reliability Analysis of Multi-Sensor Perception Systems of Automated Driving Functions
A Review of Testing Object-Based Environment Perception for Safe Automated Driving
Essential properties for safe behaviour of a perception function in automated driving