Implementation of a Bio-Inspired Neural Architecture for Autonomous Vehicles on a Multi-FPGA Platform

Implementation of a Bio-Inspired Neural Architecture for Autonomous Vehicles on a Multi-FPGA Platform

Autonomous vehicles require efficient self-localisation mechanisms and cameras are the most common sensors due to their low cost and rich input. However, the computational intensity of visual localisation varies depending on the environment and requires real-time processing and energy-efficient deci...

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Bibliographic Details
Main Authors: Tarek Elouaret, Sylvain Colomer, Frédéric De Melo, Nicolas Cuperlier, Olivier Romain, Lounis Kessal, Stéphane Zuckerman
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
FPGA
bio-inspired algorithms
Wizarde custom platform
Nvidia Jetson TX2
neural networks
N-LOC
Online Access:https://www.mdpi.com/1424-8220/23/10/4631

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https://www.mdpi.com/1424-8220/23/10/4631

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