Deep Neural Networks and Data for Automated Driving : : Robustness, Uncertainty Quantification, and Insights Towards Safety / / edited by Tim Fingscheidt, Hanno Gottschalk, Sebastian Houben.
"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. How much data do we need for training and...
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| Place / Publishing House: | Cham : : Springer Nature,, 2022. |
| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 online resource (xviii, 427 pages) :; illustrations |
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