Publication:
Deep Neural Networks and Data for Automated Driving

datacite.subject.fos oecd::Engineering and technology
dc.date.accessioned 2023-06-17T01:49:11Z
dc.date.available 2023-06-17T01:49:11Z
dc.date.issued 2022
dc.description DOI: https://doi.org/10.1007/978-3-031-01233-4 License: CC BY; Publisher: Springer
dc.description.abstract "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." This work is licensed under a CC BY
dc.identifier.doi https://doi.org/10.1007/978-3-031-01233-4
dc.identifier.isbn 9783031012334
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/5541
dc.language.iso en
dc.subject "Highly Automated Driving
dc.subject Autonomous Driving
dc.subject Environment Perception
dc.subject Deep Learning
dc.subject Safety
dc.subject Open Access."
dc.title Deep Neural Networks and Data for Automated Driving
dc.type Resource Types::text::book
dspace.entity.type Publication
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
OAB597_Deep Neural Networks and Data for Automated Driving.txt
Size:
13 B
Format:
Plain Text
Description: