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ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Yin, Yuan, Khayatan, Pegah, Zablocki, Éloi, Boulch, Alexandre, Cord, Matthieu
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Computer Vision and Pattern Recognition Robotics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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