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Robustifying the Deployment of tinyML Models for Autonomous
  mini-vehicles

Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles

1 July 2020
Miguel de Prado
Manuele Rusci
Romain Donze
Alessandro Capotondi
Serge Monnerat
Luca Benini and
Nuria Pazos
ArXivPDFHTML

Papers citing "Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles"

10 / 10 papers shown
Title
Tiny Machine Learning: Progress and Futures
Tiny Machine Learning: Progress and Futures
Ji Lin
Ligeng Zhu
Wei-Ming Chen
Wei-Chen Wang
Song Han
36
51
0
28 Mar 2024
Efficient IoT Inference via Context-Awareness
Efficient IoT Inference via Context-Awareness
Mohammad Mehdi Rastikerdar
Jin Huang
Shiwei Fang
Hui Guan
Deepak Ganesan
18
0
0
29 Oct 2023
A Machine Learning-oriented Survey on Tiny Machine Learning
A Machine Learning-oriented Survey on Tiny Machine Learning
Luigi Capogrosso
Federico Cunico
D. Cheng
Franco Fummi
Marco Cristani
SyDa
MU
24
33
0
21 Sep 2023
Datasheets for Machine Learning Sensors: Towards Transparency,
  Auditability, and Responsibility for Intelligent Sensing
Datasheets for Machine Learning Sensors: Towards Transparency, Auditability, and Responsibility for Intelligent Sensing
Matthew P. Stewart
Pete Warden
Yasmine Omri
Shvetank Prakash
Joao Santos
...
Jim MacArthur
Nat Jeffries
Sachin Katti
Brian Plancher
Vijay Janapa Reddi
22
1
0
15 Jun 2023
TinyML: Tools, Applications, Challenges, and Future Research Directions
TinyML: Tools, Applications, Challenges, and Future Research Directions
Rakhee Kallimani
K. Pai
Prasoon Raghuwanshi
S. Iyer
O. López
36
40
0
23 Mar 2023
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
19
117
0
29 May 2022
Intelligence at the Extreme Edge: A Survey on Reformable TinyML
Intelligence at the Extreme Edge: A Survey on Reformable TinyML
Visal Rajapakse
Ishan Karunanayake
Nadeem Ahmed
SyDa
28
53
0
02 Apr 2022
A TinyML Platform for On-Device Continual Learning with Quantized Latent
  Replays
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays
Leonardo Ravaglia
Manuele Rusci
D. Nadalini
Alessandro Capotondi
Francesco Conti
Luca Benini
BDL
37
64
0
20 Oct 2021
Benchmarking TinyML Systems: Challenges and Direction
Benchmarking TinyML Systems: Challenges and Direction
Colby R. Banbury
Vijay Janapa Reddi
Max Lam
William Fu
A. Fazel
...
Jae-sun Seo
Jeff Sieracki
Urmish Thakker
Marian Verhelst
Poonam Yadav
98
228
0
10 Mar 2020
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
Daniele Palossi
Antonio Loquercio
Francesco Conti
Eric Flamand
Davide Scaramuzza
Luca Benini
164
158
0
04 May 2018
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