Deep Neural Networks and Data for Automated Driving Robustness, Uncertainty Quantification, and Insights Towards Safety
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...
Furkejuvvon:
Eará dahkkit: | , , |
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Materiálatiipa: | Elektrovnnalaš Girjji oassi |
Giella: | eaŋgalasgiella |
Almmustuhtton: |
Cham
Springer Nature
2022
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Fáttát: | |
Liŋkkat: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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Interneahtta
OAPEN Library: download the publicationOAPEN Library: description of the publication
3rd Floor Main Library
Hildobáiki: |
A1234.567 |
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Njađus 1 | Oažžumis |