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Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles

Standard-sized autonomous vehicles have rapidly improved thanks to the breakthroughs of deep learning. However, scaling autonomous driving to mini-vehicles poses several challenges due to their limited on-board storage and computing capabilities. Moreover, autonomous systems lack robustness when dep...

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Detalles Bibliográficos
Autores principales: de Prado, Miguel, Rusci, Manuele, Capotondi, Alessandro, Donze, Romain, Benini, Luca, Pazos, Nuria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918899/
https://www.ncbi.nlm.nih.gov/pubmed/33668645
http://dx.doi.org/10.3390/s21041339