Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty Quantification, and Insights Towards Safety - - Bøger - Springer International Publishing AG - 9783031012327 - 18. juni 2022
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Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty Quantification, and Insights Towards Safety 1st ed. 2022 edition

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Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty Quantification, and Insights Towards Safety 1st ed. 2022 edition

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.

427 pages, 103 Illustrations, color; 14 Illustrations, black and white; XVIII, 427 p. 117 illus., 10

Medie Bøger     Hardcover bog   (Bog med hård ryg og stift omslag)
Udgivet 18. juni 2022
ISBN13 9783031012327
Forlag Springer International Publishing AG
Antal sider 427
Mål 834 g
Sprog Tysk  
Klipper/redaktør Fingscheidt, Tim
Klipper/redaktør Gottschalk, Hanno
Klipper/redaktør Houben, Sebastian