- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 3 S.
- Sprache
-
Englisch
- Anmerkungen
-
In: 3rd ACM Computer Science in Cars Symposium – Future Challenges in Artificial Intelligence & Security for Autonomous Vehicles / German Chapter of the ACM e.V. : München, S. 3
- Ereignis
-
Veröffentlichung
- (wo)
-
Bamberg
- (wer)
-
Otto-Friedrich-Universität Bamberg
- (wann)
-
2020
- Urheber
-
Schwalbe, Gesina
Schels, Martin
- Beteiligte Personen und Organisationen
-
ACM Computer Science in Cars Symposium (CSCS), 3, 2019, Kaiserslautern
- DOI
-
10.20378/irb-47274
- URN
-
urn:nbn:de:bvb:473-irb-472744
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:53 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Schwalbe, Gesina
- Schels, Martin
- ACM Computer Science in Cars Symposium (CSCS), 3, 2019, Kaiserslautern
- Otto-Friedrich-Universität Bamberg
Entstanden
- 2020
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