Analysis of suitable generative algorithms for the generation of safety-critical driving data in the field of autonomous driving /

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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VerfasserIn:
Schick, Nico,
Place / Publishing House:Gottingen, Germany : : Cuvillier Verlag,, [2021]
Ã2021
Year of Publication:2021
Language:English
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Physical Description:1 online resource (31 pages) :; illustrations
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ctrlnum (MiAaPQ)5006653666
(Au-PeEL)EBL6653666
(OCoLC)1258958614
collection bib_alma
record_format marc
spelling Schick, Nico, author.
Analysis of suitable generative algorithms for the generation of safety-critical driving data in the field of autonomous driving / Nico Schick.
Gottingen, Germany : Cuvillier Verlag, [2021]
Ã2021
1 online resource (31 pages) : illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Description based on print version record.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Cybernetics.
Electronic books.
Print version: Schick, Nico. Analysis of suitable generative algorithms for the generation of safety-critical driving data in the field of autonomous driving. Gottingen, Germany : Cuvillier Verlag, c2021 31 pages 9783736974531
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6653666 Click to View
language English
format eBook
author Schick, Nico,
spellingShingle Schick, Nico,
Analysis of suitable generative algorithms for the generation of safety-critical driving data in the field of autonomous driving /
author_facet Schick, Nico,
author_variant n s ns
author_role VerfasserIn
author_sort Schick, Nico,
title Analysis of suitable generative algorithms for the generation of safety-critical driving data in the field of autonomous driving /
title_full Analysis of suitable generative algorithms for the generation of safety-critical driving data in the field of autonomous driving / Nico Schick.
title_fullStr Analysis of suitable generative algorithms for the generation of safety-critical driving data in the field of autonomous driving / Nico Schick.
title_full_unstemmed Analysis of suitable generative algorithms for the generation of safety-critical driving data in the field of autonomous driving / Nico Schick.
title_auth Analysis of suitable generative algorithms for the generation of safety-critical driving data in the field of autonomous driving /
title_new Analysis of suitable generative algorithms for the generation of safety-critical driving data in the field of autonomous driving /
title_sort analysis of suitable generative algorithms for the generation of safety-critical driving data in the field of autonomous driving /
publisher Cuvillier Verlag,
publishDate 2021
physical 1 online resource (31 pages) : illustrations
isbn 9783736964532
9783736974531
callnumber-first Q - Science
callnumber-subject Q - General Science
callnumber-label Q175
callnumber-sort Q 3175 S353 42021
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6653666
illustrated Illustrated
dewey-hundreds 000 - Computer science, information & general works
dewey-tens 000 - Computer science, knowledge & systems
dewey-ones 003 - Systems
dewey-full 003.5
dewey-sort 13.5
dewey-raw 003.5
dewey-search 003.5
oclc_num 1258958614
work_keys_str_mv AT schicknico analysisofsuitablegenerativealgorithmsforthegenerationofsafetycriticaldrivingdatainthefieldofautonomousdriving
status_str n
ids_txt_mv (MiAaPQ)5006653666
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carrierType_str_mv cr
is_hierarchy_title Analysis of suitable generative algorithms for the generation of safety-critical driving data in the field of autonomous driving /
marc_error Info : Unimarc and ISO-8859-1 translations identical, choosing ISO-8859-1. --- [ 856 : z ]
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