Deep Neural Networks and Data for Automated Driving : Robustness, Uncertainty Quantification, and Insights Towards Safety.

By: Fingscheidt, TimContributor(s): Gottschalk, Hanno | Houben, SebastianMaterial type: TextTextPublisher: Cham : Springer International Publishing AG, 2022Copyright date: �2022Edition: 1st edDescription: 1 online resource (435 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9783031012334Genre/Form: Electronic books.Additional physical formats: Print version:: Deep Neural Networks and Data for Automated DrivingLOC classification: TL1-483Online resources: Click to View
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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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