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Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty Quantification, and Insights Towards Safety 1st ed. 2022 edition
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
Media | Books Hardcover Book (Book with hard spine and cover) |
Released | June 18, 2022 |
ISBN13 | 9783031012327 |
Publishers | Springer International Publishing AG |
Pages | 427 |
Dimensions | 834 g |
Language | German |
Editor | Fingscheidt, Tim |
Editor | Gottschalk, Hanno |
Editor | Houben, Sebastian |