Ponencia
Real-time motor rotation frequency detection with event-based visual and spike-based auditory AER sensory integration for FPGA
Autor/es | Ríos Navarro, José Antonio
Cerezuela Escudero, Elena Domínguez Morales, Manuel Jesús Jiménez Fernández, Ángel Francisco Jiménez Moreno, Gabriel Linares Barranco, Alejandro |
Departamento | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Fecha de publicación | 2015 |
Fecha de depósito | 2020-01-14 |
Publicado en |
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ISBN/ISSN | 978-1-4673-7888-8 |
Resumen | 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 ... 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. |
Identificador del proyecto | TEC2012-37868-C04-02/01 |
Cita | Rios Navarro, A., Cerezuela Escudero, E., Domínguez Morales, M.J., Jiménez Fernández, Á.F., Jiménez Moreno, G. y Linares Barranco, A. (2015). Real-time motor rotation frequency detection with event-based visual and spike-based auditory AER sensory integration for FPGA. En EBCCSP 2015: International Conference on Event-based Control, Communication, and Signal Processing Krakow, Poland: IEEE Computer Society. |
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