Paper Info
Title
Real-time motor rotation frequency detection with event-based visual and spike-based auditory AER sensory integration for FPGA
Abstract
Multisensory integration is commonly used in various robotic areas to collect more environmental information using different and complementary types of sensors. Neuromorphic engineers mimics biological systems behavior to improve systems performance in solving engineering problems with low power consumption. This work presents a neuromorphic sensory integration scenario for measuring the rotation frequency of a motor using an AER DVS128 retina chip (Dynamic Vision Sensor) and a stereo auditory system on a FPGA completely event-based. Both of them transmit information with Address-Event-Representation (AER). This integration system uses a new AER monitor hardware interface, based on a Spartan-6 FPGA that allows two operational modes: real-time (up to 5 Mevps through USB2.0) and data logger mode (up to 20Mevps for 33.5Mev stored in onboard DDR RAM). The sensory integration allows reducing prediction error of the rotation speed of the motor since audio processing offers a concrete range of rpm, while DVS can be much more accurate.
Year
DOI
Venue
2015
10.1109/EBCCSP.2015.7300696
2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP)
Keywords
Field
DocType
Address-Event-Representation,spikebased filters,neuromorphic enginnering,event-based vision,DVS,silicon retina,sensor integration
Data logger,Multisensory integration,Computer science,Field-programmable gate array,Auditory system,Neuromorphic engineering,Chip,Audio signal processing,Sensory system,Computer hardware,Embedded system
Conference
Citations 
PageRank 
References 
3
0.42
8
Authors
6
Name
Order
Citations
PageRank
a riosnavarro1417.36
Elena Cerezuela-Escudero2407.45
M. Domínguez-Morales3388.21
Angel Jiménez-fernandez49620.53
Gabriel Jiménez-moreno522122.43
Alejandro Linares-barranco647353.18