Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty Quantification, and Insights Towards Safety
Overview & Synopsis
This open access book brings together the latest developments from industry and research on automated driving and artificial intelligence.
Indexed from repository: FreeComputerBooks.com
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freecomputerbooks.com)
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Document Information
| Document Title | Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty Quantification, and Insights Towards Safety |
|---|---|
| Author / Organization | Tim Fingscheidt, Hanno Gottschalk, Sebastian Houben |
| Subject & Discipline | Neural Networks, Deep Learning, Robotics and Robot Programming, Machine Learning, Artificial Intelligence |
| Categories | Neural Networks |
| Publication Year | 2022 |
| ISBN | 3031012321 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | Access Restricted / Protected Host |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-93340 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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