Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Javier López-Randulfe"'
Autor:
Bernhard Vogginger, Felix Kreutz, Javier López-Randulfe, Chen Liu, Robin Dietrich, Hector A. Gonzalez, Daniel Scholz, Nico Reeb, Daniel Auge, Julian Hille, Muhammad Arsalan, Florian Mirus, Cyprian Grassmann, Alois Knoll, Christian Mayr
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Frequency-modulated continuous wave radar sensors play an essential role for assisted and autonomous driving as they are robust under all weather and light conditions. However, the rising number of transmitters and receivers for obtaining a higher an
Externí odkaz:
https://doaj.org/article/8a4d5a8e0fe2466db98e2375afc45442
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
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
Externí odkaz:
https://doaj.org/article/d22827bcc36348649892b43ce68a3434
Spiking neural networks can leverage the high efficiency of temporal coding by converting architectures that were previously learnt with the backpropagation algorithm. In this work, we present the application of a time-coded neuron model for the conv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ac3147e266ef6594de095ab94e967b2
https://mediatum.ub.tum.de/1686828
https://mediatum.ub.tum.de/1686828
Publikováno v:
Neuromorphic Computing and Engineering, Vol 3, Iss 4, p 044002 (2023)
Processing sensor data with spiking neural networks on digital neuromorphic chips requires converting continuous analog signals into spike pulses. Two strategies are promising for achieving low energy consumption and fast processing speeds in end-to-
Externí odkaz:
https://doaj.org/article/b048d38ce5354003a77bf6054564de5c