Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles

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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Bibliographic Details
Main Authors: Miguel de Prado, Manuele Rusci, Alessandro Capotondi, Romain Donze, Luca Benini, Nuria Pazos
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
autonomous driving
tinyML
robustness
micro-controllers
Online Access:https://www.mdpi.com/1424-8220/21/4/1339

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https://www.mdpi.com/1424-8220/21/4/1339

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