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

João Filipe Ferreira, Cátia Pinho, Jorge Dias

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Scopus citations

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.

Original languageBritish English
Title of host publication2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008
PublisherIEEE Computer Society
Pages1722-1727
Number of pages6
ISBN (Print)9781424426799
DOIs
StatePublished - 2009
Event2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008 - Bangkok, Thailand
Duration: 21 Feb 200926 Feb 2009

Publication series

Name2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008

Conference

Conference2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008
Country/TerritoryThailand
CityBangkok
Period21/02/0926/02/09

Keywords

  • Bayesian inference
  • Binaural cues
  • Bioinspired perception
  • Occupancy grids
  • Sound-source localisation

Fingerprint

Dive into the research topics of 'Implementation and calibration of a bayesian binaural system for 3D localisation'. Together they form a unique fingerprint.

Cite this