[BibTeX] [RIS]
{Acoustic Models and Kalman Filtering Strategies for Active Binaural Sound Localization}
Type of publication: Inproceedings
Citation: Portello2011
Booktitle: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Number: Figure 1
Year: 2011
Pages: 137--142
URL: http://chronos.isir.upmc.fr/~g...
Abstract: This paper deals with binaural sound localization. An active strategy is proposed, relying on a precise model of the dynamic changes induced by motion on the auditive perception. The proposed framework allows motions of both the sound source and the sensor. The resulting stochastic discrete- time model is then exploited together with Unscented Kalman filtering to provide range and azimuth estimation. Simulations and experiments show the effectiveness of the method.
Userfields: bdsk-url-1={http://chronos.isir.upmc.fr/~gas/pam/img%5C_auth.php/9/90/Portello2011.pdf}, date-added={2012-09-23 10:50:23 +0200}, date-modified={2012-09-23 10:50:23 +0200}, file={:home/jim/Desktop/sortedLiterature/sound localization/Portello2011-Acoustic Models and Kalman Filtering Strategies for Active Binaural Sound Localization.pdf:pdf}, project={fremdliteratur},
Keywords: Active Localization, Binaural Sound, Kalman Filter, Sound Localization
Authors Portello, Alban
Danes, Patrick
Argentieri, Sylvain
  • http://chronos.isir.upmc.fr/~g...