Implementation and calibration of a Bayesian binaural system for 3D localisation

  • Authors:
  • Joao Filipe Ferreira;Catia Pinho;Jorge Dias

  • Affiliations:
  • ISR - Institute of Systems and Robotics, FCT-University of Coimbra, Portugal;ISR - Institute of Systems and Robotics, FCT-University of Coimbra, Portugal;ISR - Institute of Systems and Robotics, FCT-University of Coimbra, Portugal

  • Venue:
  • ROBIO '09 Proceedings of the 2008 IEEE International Conference on Robotics and Biomimetics
  • Year:
  • 2009

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Abstract

In this text we present a Bayesian system of auditory localisation in distance, azimuth and elevation using binaural cues only; we focus mainly on implementation details and the calibration procedure, and present experimental results. This binaural system is also integrated in a spatial representation framework for multimodal perception of 3D structure and motion — the Bayesian Volumetric Map (BVM). This solution will enable the implementation of an active perception system with great potential in applications as diverse as social robots or even robotic navigation.