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...

Whakaahuatanga katoa

I tiakina i:
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Ētahi atu kaituhi: Fingscheidt, Tim (Editor), Gottschalk, Hanno (Editor), Houben, Sebastian (Editor)
Hōputu: Tāhiko Wāhanga pukapuka
Reo:Ingarihi
I whakaputaina: Cham Springer Nature 2022
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Urunga tuihono:DOAB: download the publication
DOAB: description of the publication
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Ipurangi

DOAB: download the publication
DOAB: description of the publication

3rd Floor Main Library

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Tau karanga: A1234.567
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