ANALYSIS OF SUITABLE GENERATIVE ALGORITHMS FOR THE GENERATION OF SAFETY-CRITICAL DRIVING DATA IN THE FIELD OF AUTONOMOUS DRIVING

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Schick, Nico (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [S.l.] : CUVILLIER VERLAG, 2021.
Temas:
Automated vehicles.
Machine learning.
Véhicules autonomes.
Apprentissage automatique.
Automated vehicles
Machine learning
Acceso en línea:Texto completo

MARC

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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  |h [electronic resource]. 
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650 0 |a Automated vehicles. 
650 0 |a Machine learning. 
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650 6 |a Apprentissage automatique. 
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650 7 |a Machine learning  |2 fast 
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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 Göttingen : Cuvillier Verlag,c2021  |z 9783736974531 
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