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...

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Bibliographic Details

Main Authors:	Fingscheidt, Tim, Gottschalk, Hanno, Houben, Sebastian
Format:	eBook
Language:	English
Published:	Cham Springer Nature 2022 Springer International Publishing AG University of Wuppertal
Edition:	1
Subjects:	Autonomous Driving Careers Deep Learning Engineering Environment Perception Highly Automated Driving Nonfiction Safety Technology
ISBN:	3031034899, 303101233X, 9783031012334, 9783031034893, 9783031012327, 3031012321
Online Access:	Get full text
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