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

(Bog, Hardback, Engelsk)
Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty Quantification, and Insights Towards Safety
Forlag: Springer International Publishing AG

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This open access book brings together the latest developments from industry and research on automated driving and artificial intelligence. Environment perception for highly automated driving heavily employs deep neural networks, facing many challenges.

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Alle detaljer

Forlag Springer International Publishing AG
Type Bog
Format Hardback
Sprog Engelsk
Udgave 1st ed. 2022
Udgivelsesdato 18-06-2022
Første udgivelsesår 2022
Illustrationer 103 Illustrations, color; 14 Illustrations, black and white
Fagredaktør Tim Fingscheidt, Hanno Gottschalk, Sebastian Houben
Originalsprog Switzerland
Sideantal 427
Indbinding Hardback
Forlag Springer International Publishing AG
Sideoplysninger 427 pages, 103 Illustrations, color; 14 Illustrations, black and white
Mål 165 x 243 x 30
ISBN-13 / EAN-13 9783031012327