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Document type:
Zeitschriftenaufsatz 
Author(s):
Lopez-Randulfe, Javier.; Duswald, Tobias; Bing, Zhenshan; Knoll, Alois 
Title:
Spiking Neural Network for Fourier Transform and Object Detection for Automotive Radar 
Abstract:
The development of advanced autonomous driving applications is hindered by the complex temporal structure of sensory data, as well as by the limited computational and energy resources of their on-board systems. Currently, neuromorphic engineering is a rapidly growing field that aims to design information processing systems similar to the human brain by leveraging novel algorithms based on spiking neural networks (SNNs). These systems are well-suited to recognize temporal patterns in data while m...    »
 
Keywords:
spiking neural network, FMCW radar, Fourier tranform, constant false-alarm rate, autonomous driving 
Journal title:
Frontiers in Neurorobotics 
Year:
2021 
Year / month:
2021-06 
Journal issue:
15 
Reviewed:
ja 
Language:
en 
Scimago Quartil:
Q2 
Status:
Verlagsversion / published 
Date of publication:
07.06.2021