Abstract
Audio and visual perceptions are two crucial elements in the design of mobile humanoids. In unknown and uncontrolled environments, humanoids are supposed to navigate safely and to explore their surroundings autonomously. While robotic visual perception, e.g. stereo vision, has significantly evolved during the last few years, robotic audio perception, especially binaural audition, is still in its early stages. However, non-binaural sound source localization methods based on multiple microphone arrays, like multiple signal classification and estimation of Time-Delay Of Arrivals (TDOAs) between all microphone pairs, have been very actively explored [1], [2].
This work is fully supported by the German Research Foundation (DFG) within the collaborative research center SFB453 “High-Fidelity Telepresence and Teleaction”.
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© 2007 Springer London
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Keyrouz, F., Diepold, K., Keyrouz, S. (2007). Humanoid Binaural Sound Tracking Using Kalman Filtering and HRTFs. In: Kozłowski, K. (eds) Robot Motion and Control 2007. Lecture Notes in Control and Information Sciences, vol 360. Springer, London. https://doi.org/10.1007/978-1-84628-974-3_30
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DOI: https://doi.org/10.1007/978-1-84628-974-3_30
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