Deep Neural Networks and Data for Automated Driving : Robustness, Uncertainty Quantification, and Insights Towards Safety

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...

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Detalles Bibliográficos
Otros Autores: Fingscheidt, Tim, editor (editor), Gottschalk, Hanno, editor, Houben, Sebastian, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer Nature 2022.
Materias:
Automobiles > Automatic control.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009746516106719

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