{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 |
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