- Alternative title
-
Heterogenes Computing für fortschrittliche Fahrerassistenzsysteme
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
München, Technische Universität München, Dissertation, 2020
- Keyword
-
Driver assistance systems
- Event
-
Veröffentlichung
- (where)
-
München
- (who)
-
Universitätsbibliothek der TU München
- (when)
-
2020
- Creator
-
Wang, Xiebing
- Contributor
-
Knoll, Alois
Huang, Kai
Qian, Xuehai
Knoll, Alois
- URN
-
urn:nbn:de:bvb:91-diss-20200115-1482184-1-8
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:50 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
- Wang, Xiebing
- Knoll, Alois
- Huang, Kai
- Qian, Xuehai
- Universitätsbibliothek der TU München
Time of origin
- 2020
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Innovation acceptance : the case of advanced driver-assistance systems
A rapid prototyping environment for cooperative Advanced Driver Assistance Systems
Provident vehicle detection at night for advanced driver assistance systems
Hybrid control strategies for advanced safety- and driver assistance systems
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Fusion of data from heterogeneous sensors with distributed fields of view and situation evaluation for advanced driver assistance systems
Anticipation assistance for drivers
Machine learning in advanced driver-assistance systems
Functional Safety in Advanced Driver assistance Systems
Color image processing for advanced driver assistance systems
Monoscopic object-recognition for advanced driver assistance systems
Road terrain detection for Advanced Driver Assistance Systems
Innovation acceptance : the case of advanced driver-assistance systems
A rapid prototyping environment for cooperative Advanced Driver Assistance Systems
Provident vehicle detection at night for advanced driver assistance systems
Hybrid control strategies for advanced safety- and driver assistance systems
Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems
Fusion of data from heterogeneous sensors with distributed fields of view and situation evaluation for advanced driver assistance systems