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

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

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Fingscheidt, Tim.
TeilnehmendeR:
Gottschalk, Hanno.
Houben, Sebastian.
Place / Publishing House:Cham : : Springer International Publishing AG,, 2022.
Ã2022.
Year of Publication:2022
Edition:1st ed.
Language:English
Online Access:
Physical Description:1 online resource (435 pages)
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spelling Fingscheidt, Tim.
Deep Neural Networks and Data for Automated Driving : Robustness, Uncertainty Quantification, and Insights Towards Safety.
1st ed.
Cham : Springer International Publishing AG, 2022.
Ã2022.
1 online resource (435 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic books.
Gottschalk, Hanno.
Houben, Sebastian.
Print version: Fingscheidt, Tim Deep Neural Networks and Data for Automated Driving Cham : Springer International Publishing AG,c2022 9783031012327
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7018938 Click to View
language English
format eBook
author Fingscheidt, Tim.
spellingShingle Fingscheidt, Tim.
Deep Neural Networks and Data for Automated Driving : Robustness, Uncertainty Quantification, and Insights Towards Safety.
author_facet Fingscheidt, Tim.
Gottschalk, Hanno.
Houben, Sebastian.
author_variant t f tf
author2 Gottschalk, Hanno.
Houben, Sebastian.
author2_variant h g hg
s h sh
author2_role TeilnehmendeR
TeilnehmendeR
author_sort Fingscheidt, Tim.
title Deep Neural Networks and Data for Automated Driving : Robustness, Uncertainty Quantification, and Insights Towards Safety.
title_sub Robustness, Uncertainty Quantification, and Insights Towards Safety.
title_full Deep Neural Networks and Data for Automated Driving : Robustness, Uncertainty Quantification, and Insights Towards Safety.
title_fullStr Deep Neural Networks and Data for Automated Driving : Robustness, Uncertainty Quantification, and Insights Towards Safety.
title_full_unstemmed Deep Neural Networks and Data for Automated Driving : Robustness, Uncertainty Quantification, and Insights Towards Safety.
title_auth Deep Neural Networks and Data for Automated Driving : Robustness, Uncertainty Quantification, and Insights Towards Safety.
title_new Deep Neural Networks and Data for Automated Driving :
title_sort deep neural networks and data for automated driving : robustness, uncertainty quantification, and insights towards safety.
publisher Springer International Publishing AG,
publishDate 2022
physical 1 online resource (435 pages)
edition 1st ed.
isbn 9783031012334
9783031012327
callnumber-first T - Technology
callnumber-subject TL - Motor Vehicles and Aeronautics
callnumber-label TL1-483
callnumber-sort TL 11 3483
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7018938
illustrated Not Illustrated
oclc_num 1331559221
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