Deep Neural Networks and Data for Automated Driving

Language: English

Published by Springer International Publishing, Springer Nature Switzerland Jul 2022, 2022

3031012356 / 9783031012358

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This item is printed on demand - Print on Demand Titel. Neuware -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 testing How to use synthetic data to save labeling costs for training How do we increase robustness and decrease memory usage For inevitably poor conditions: How do we know that the network is uncertain about its decisions Can we understand a bit more about what actually happens inside neural networks This leads to a very practical problem particularly for DNNs employed in automated driving: What are useful validation techniques and how about safety This book unites the views from both academia and industry, where computer vision and machine learning meet environment perception for highly automated driving. Naturally, aspects of data, robustness, uncertainty quantification, and, last but not least, safety are at the core of it. This book is unique: In its first part, an extended survey of all the relevant aspects is provided. The second part contains the detailed technical elaboration of the various questions mentioned above.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 448 pp. Englisch.…

Seller Inventory # 9783031012358

Title
Deep Neural Networks and Data for Automated Driving
Author
Jeonghoon Mo
Publisher
Springer International Publishing, Springer Nature Switzerland Jul 2022
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031012356
ISBN 13
9783031012358
Item weight
674 grams
Dimensions
235x155x25 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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