Ponencia
Work-in-Progress: A Neuromorphic Approach of the Sound Source Localization Task in Real-Time Embedded Systems
Autor/es | Gutiérrez Galán, Daniel
Domínguez Morales, Juan Pedro Jiménez Fernández, Ángel Francisco Tapiador Morales, Ricardo Ríos Navarro, José Antonio Linares Barranco, Alejandro |
Departamento | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Fecha de publicación | 2019 |
Fecha de depósito | 2020-01-31 |
Publicado en |
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ISBN/ISSN | 978-1-4503-6924-4 |
Resumen | Autonomous robots have become a very popular topic within the artificial
intelligence field. These systems are able to perform difficult
or risky tasks that could be dangerous when done by humans or
trained animals. ... Autonomous robots have become a very popular topic within the artificial intelligence field. These systems are able to perform difficult or risky tasks that could be dangerous when done by humans or trained animals. Vision is commonly considered the most relevant input sensor for autonomous robots and tracking systems. However, auditory information is also important in some specific situations where vision cannot provide any useful information when navigating. In this work, a spike-based model of the medial superior olive of the inner ear has been implemented in reconfigurable hardware for performing sound source localization in real time. Future works will focus on integrating this information with vision in order to achieve a fully bio-inspired autonomous tracking system. |
Identificador del proyecto | TEC2016-77785-P |
Cita | Gutiérrez Galán, D., Domínguez Morales, J.P., Jiménez Fernández, Á.F., Tapiador Morales, R., Ríos Navarro, J.A. y Linares Barranco, A. (2019). Work-in-Progress: A Neuromorphic Approach of the Sound Source Localization Task in Real-Time Embedded Systems. En EMSOFT '19: International Conference on Embedded Software Companion New York, USA: ACM Digital Library. |
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