Fingscheidt, T., Gottschalk, H., … Houben, S. (Hrsg.). [ca. 2022]. Deep Neural Networks and Data for Automated Driving : Robustness, Uncertainty Quantification, and Insights Towards Safety (1 st ed. 2022) [Cd]. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-01233-4
ISO-690 (author-date, English)FINGSCHEIDT, Tim, GOTTSCHALK, Hanno und HOUBEN, Sebastian (Hrsg.). 1 st ed. 2022. Cham: Springer International Publishing. ISBN 9783031012334.
Modern Language Association 9th editionFingscheidt, T., H. Gottschalk, und S. Houben, Herausgeber. Deep Neural Networks and Data for Automated Driving : Robustness, Uncertainty Quantification, and Insights Towards Safety. 1 st ed. 2022, cd, Springer International Publishing, 2022, https://doi.org/10.1007/978-3-031-01233-4.
Mohr Siebeck - Recht (Deutsch - Österreich): Deep Neural Networks and Data for Automated Driving : Robustness, Uncertainty Quantification, and Insights Towards Safety, 1 st ed. 2022. Aufl. Cham 2022.
Emerald - HarvardFingscheidt, T., Gottschalk, H. und Houben, S. (Hrsg.). (2022), Deep Neural Networks and Data for Automated Driving : Robustness, Uncertainty Quantification, and Insights Towards Safety, 1 st ed. 2022., Bd. , Springer International Publishing, Cham, verfügbar unter:https://doi.org/10.1007/978-3-031-01233-4.