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Mostrando ítems 31-36 de 36
Ponencia
Hybrid Neural Network, An Efficient Low-Power Digital Hardware Implementation of Event-based Artificial Neural Network
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Interest in event-based vision sensors has proliferated in recent years, with innovative technology becoming more accessible to new researchers and highlighting such sensors’ potential to enable low-latency sensing at ...
Ponencia
Passive localization and detection of quadcopter UAVs by using Dynamic Vision Sensor
(IEEE. Institute of Electrical and Electronics Engineers, 2017)
We present a new passive and low power localization method for quadcopter UAVs (Unmanned aerial vehicles) by using dynamic vision sensors. This method works by detecting the speed of rotation of propellers that is ...
Artículo
An Event-Driven Multi-Kernel Convolution Processor Module for Event-Driven Vision Sensors
(IEEE Computer Society, 2012)
Event-Driven vision sensing is a new way of sensing visual reality in a frame-free manner. This is, the vision sensor (camera) is not capturing a sequence of still frames, as in conventional video and computer vision ...
Ponencia
A signed spatial contrast event spike retina chip
(IEEE Computer Society, 2010)
Reported AER (Address Event Representation) contrast retinae perform a contrast computation based on the ratio between a pixel's local light intensity and a spatially weighted average of its neighbourhood. This results in ...
Ponencia
Performance Comparison of Time-Step-Driven versus Event-Driven Neural State Update Approaches in SpiNNaker
(IEEE. Institute of Electrical and Electronics Engineers, 2018)
The SpiNNaker chip is a multi-core processor optimized for neuromorphic applications. Many SpiNNaker chips are assembled to make a highly parallel million core platform. This system can be used for simulation of a large ...
Ponencia
Design of adaptive nano/CMOS neural architectures
(IEEE Computer Society, 2012)
Memristive devices are a promising technology to implement dense learning synapse arrays emulating the high memory capacity and connectivity of biological brains. Recently, the implementation of STDP learning in memristive ...