Deep Neural Networks and Data for Automated Driving : : Robustness, Uncertainty Quantification, and Insights Towards Safety.
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| Place / Publishing House: | Cham : : Springer International Publishing AG,, 2022. Ã2022. |
| Year of Publication: | 2022 |
| Edition: | 1st ed. |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (435 pages) |
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| 003 | MiAaPQ | ||
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| 008 | 240229s2022 xx o ||||0 eng d | ||
| 020 | |a 9783031012334 |q (electronic bk.) | ||
| 020 | |z 9783031012327 | ||
| 035 | |a (MiAaPQ)5007018938 | ||
| 035 | |a (Au-PeEL)EBL7018938 | ||
| 035 | |a (OCoLC)1331559221 | ||
| 040 | |a MiAaPQ |b eng |e rda |e pn |c MiAaPQ |d MiAaPQ | ||
| 050 | 4 | |a TL1-483 | |
| 100 | 1 | |a Fingscheidt, Tim. | |
| 245 | 1 | 0 | |a Deep Neural Networks and Data for Automated Driving : |b Robustness, Uncertainty Quantification, and Insights Towards Safety. |
| 250 | |a 1st ed. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing AG, |c 2022. | |
| 264 | 4 | |c Ã2022. | |
| 300 | |a 1 online resource (435 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | |a Description based on publisher supplied metadata and other sources. | ||
| 590 | |a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Gottschalk, Hanno. | |
| 700 | 1 | |a Houben, Sebastian. | |
| 776 | 0 | 8 | |i Print version: |a Fingscheidt, Tim |t Deep Neural Networks and Data for Automated Driving |d Cham : Springer International Publishing AG,c2022 |z 9783031012327 |
| 797 | 2 | |a ProQuest (Firm) | |
| 856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7018938 |z Click to View |