Analysis of suitable generative algorithms for the generation of safety-critical driving data in the field of autonomous driving / / Nico Schick.
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| Place / Publishing House: | Gottingen, Germany : : Cuvillier Verlag,, [2021] Ã2021 |
| Year of Publication: | 2021 |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (31 pages) :; illustrations |
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| 003 | MiAaPQ | ||
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| 006 | m o d | | ||
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| 008 | 230112s2021 gw a o 000 0 eng d | ||
| 020 | |z 9783736974531 |q (print) | ||
| 020 | |a 9783736964532 |q (electronic bk.) | ||
| 035 | |a (MiAaPQ)5006653666 | ||
| 035 | |a (Au-PeEL)EBL6653666 | ||
| 035 | |a (OCoLC)1258958614 | ||
| 040 | |a MiAaPQ |b eng |e rda |e pn |c MiAaPQ |d MiAaPQ | ||
| 050 | 4 | |a Q175 |b .S353 2021 | |
| 082 | 0 | |a 003.5 |2 23 | |
| 100 | 1 | |a Schick, Nico, |e author. | |
| 245 | 1 | 0 | |a Analysis of suitable generative algorithms for the generation of safety-critical driving data in the field of autonomous driving / |c Nico Schick. |
| 264 | 1 | |a Gottingen, Germany : |b Cuvillier Verlag, |c [2021] | |
| 264 | 4 | |c Ã2021 | |
| 300 | |a 1 online resource (31 pages) : |b illustrations | ||
| 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 print version record. | ||
| 590 | |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
| 650 | 0 | |a Cybernetics. | |
| 655 | 4 | |a Electronic books. | |
| 776 | 0 | 8 | |i Print version: |a Schick, Nico. |t Analysis of suitable generative algorithms for the generation of safety-critical driving data in the field of autonomous driving. |d Gottingen, Germany : Cuvillier Verlag, c2021 |h 31 pages |z 9783736974531 |
| 797 | 2 | |a ProQuest (Firm) | |
| 856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6653666 |z Click to View |