RT conference output
T1 Deep Spiking Neural Network for object tracking
A1 Guerrero Vázquez, Elisa
A1 Quintana Velázquez, Fernando Manuel
A1 Guerrero Lebrero, María de la Paz
A1 Pérez Peña, Fernando
A1 Galindo Riaño, Pedro Luis
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
A2 Ingeniería Informática
K1 Spiking Neural Networks
K1 Deep Learning
K1 Object Tracking
AB We are investigating surrogate gradient as optimization methods in Deep SNN for regression prob-lems. A SNN able to detect a ball at high speed is being developed in which the voltage potentialof the output neurons correspond, in real time, with its position, making possible its applicationin robotic systems that require fast object tracking. As a future work, training and validationover the network and dataset design would be performed using PyTorch framework, as well as thedeployment of the system into a robotic platform, for object identification and tracking.
PB OLA
YR 2023
FD 2023
LK http://hdl.handle.net/10498/32165
UL http://hdl.handle.net/10498/32165
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026