Conditional Generative Models for Dynamic Trajectory Generation and Urban Driving

This work explores methodologies for dynamic trajectory generation for urban driving environments by utilizing coarse global plan representations. In contrast to state-of-the-art architectures for autonomous driving that often leverage lane-level high-definition (HD) maps, we focus on minimizing req...

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Detalles Bibliográficos
Autores principales: Paz, David, Zhang, Hengyuan, Xiang, Hao, Liang, Andrew, Christensen, Henrik I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422223/
https://www.ncbi.nlm.nih.gov/pubmed/37571547
http://dx.doi.org/10.3390/s23156764

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422223/
https://www.ncbi.nlm.nih.gov/pubmed/37571547
http://dx.doi.org/10.3390/s23156764

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