Deep neural networks and data for automated driving: robustness, uncertainty quantification, and insights towards safety
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham, Switzerland
Springer
[2022]
|
| Schlagworte: | |
| Online-Zugang: | Volltext Volltext |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9783031012334 |
| DOI: | 10.1007/978-3-031-01233-4 |
Internformat
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| discipline | Elektrotechnik Verkehr / Transport Maschinenbau |
| discipline_str_mv | Elektrotechnik Verkehr / Transport Maschinenbau |
| doi_str_mv | 10.1007/978-3-031-01233-4 |
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| isbn | 9783031012334 |
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| publisher | Springer |
| record_format | marc |
| spellingShingle | Deep neural networks and data for automated driving robustness, uncertainty quantification, and insights towards safety Automotive Engineering Mathematical Models of Cognitive Processes and Neural Networks Computer Vision Data Engineering Automotive engineering Neural networks (Computer science) Computer vision Engineering—Data processing |
| title | Deep neural networks and data for automated driving robustness, uncertainty quantification, and insights towards safety |
| title_auth | Deep neural networks and data for automated driving robustness, uncertainty quantification, and insights towards safety |
| title_exact_search | Deep neural networks and data for automated driving robustness, uncertainty quantification, and insights towards safety |
| title_exact_search_txtP | Deep neural networks and data for automated driving robustness, uncertainty quantification, and insights towards safety |
| title_full | Deep neural networks and data for automated driving robustness, uncertainty quantification, and insights towards safety Tim Fingscheidt, Hanno Gottschalk, Sebastian Houben, editors |
| title_fullStr | Deep neural networks and data for automated driving robustness, uncertainty quantification, and insights towards safety Tim Fingscheidt, Hanno Gottschalk, Sebastian Houben, editors |
| title_full_unstemmed | Deep neural networks and data for automated driving robustness, uncertainty quantification, and insights towards safety Tim Fingscheidt, Hanno Gottschalk, Sebastian Houben, editors |
| title_short | Deep neural networks and data for automated driving |
| title_sort | deep neural networks and data for automated driving robustness uncertainty quantification and insights towards safety |
| title_sub | robustness, uncertainty quantification, and insights towards safety |
| topic | Automotive Engineering Mathematical Models of Cognitive Processes and Neural Networks Computer Vision Data Engineering Automotive engineering Neural networks (Computer science) Computer vision Engineering—Data processing |
| topic_facet | Automotive Engineering Mathematical Models of Cognitive Processes and Neural Networks Computer Vision Data Engineering Automotive engineering Neural networks (Computer science) Computer vision Engineering—Data processing |
| url | https://doi.org/10.1007/978-3-031-01233-4 https://directory.doabooks.org/handle/20.500.12854/87745 |
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