Deep neural networks and data for automated driving : : robustness, uncertainty quantification, and insights towards safety / / Tim Fingscheidt [et al.]
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 testi...
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| Place / Publishing House: | Cham : : Springer International Publishing AG,, 2022. ©2022. |
| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 online resource (435 pages) |
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Electronic
| DOAB Directory of Open Access Books | Available |