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Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles [article]

Miguel de Prado, Manuele Rusci, Romain Donze, Alessandro Capotondi, Serge Monnerat, Luca Benini and, Nuria Pazos
2021 arXiv   pre-print
To address them, we propose a closed-loop learning flow for autonomous driving mini-vehicles that includes the target environment in-the-loop.  ...  Standard-size autonomous navigation vehicles have rapidly improved thanks to the breakthroughs of deep learning.  ...  Contributions We present an end-to-end flow of data, algorithms, and deployment tools that facilitates the deployment and enhance the robustness of a family of tinyCNNs for an autonomous lowpower mini-vehicle  ... 
arXiv:2007.00302v2 fatcat:kxylimhhqrcutehe2dfqpa2nhu

Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles

Miguel de de Prado, Manuele Rusci, Alessandro Capotondi, Romain Donze, Luca Benini, Nuria Pazos
2021 Sensors  
To address these challenges, we propose a closed-loop learning flow for autonomous driving mini-vehicles that includes the target deployment environment in-the-loop.  ...  Standard-sized autonomous vehicles have rapidly improved thanks to the breakthroughs of deep learning.  ...  Goal Specification: Robust Low-Power Autonomous Driving We aim to shed light on the robustification of tinyML models for autonomous systems deployed in dynamic environments.  ... 
doi:10.3390/s21041339 pmid:33668645 pmcid:PMC7918899 fatcat:krfqzoi5pnbnfnyn3gndzj7j3q

Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles

Miguel de Prado, Manuele Rusci, Romain Donze, Alessandro Capotondi, Serge Monnerat, Luca Benini, Nuria Pazos
2021 2021 IEEE International Symposium on Circuits and Systems (ISCAS)  
Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles. Sensors  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.1109/iscas51556.2021.9401154 fatcat:cqieoaxwm5cwxhgbellngethze