In this section
@inproceedings{Evers:2016:10.1109/EUSIPCO.2016.7760400,
author = {Evers, C and Moore, A and Naylor, P},
doi = {10.1109/EUSIPCO.2016.7760400},
publisher = {IEEE},
title = {Localization of Moving Microphone Arrays from Moving Sound Sources for Robot Audition},
url = {http://dx.doi.org/10.1109/EUSIPCO.2016.7760400},
year = {2016}
}
TY - CPAPER
AB - Acoustic Simultaneous Localization and Mapping(a-SLAM) jointly localizes the trajectory of a microphone arrayinstalled on a moving platform, whilst estimating the acousticmap of surrounding sound sources, such as human speakers.Whilst traditional approaches for SLAM in the vision and opticalresearch literature rely on the assumption that the surroundingmap features are static, in the acoustic case the positions oftalkers are usually time-varying due to head rotations and bodymovements. This paper demonstrates that tracking of movingsources can be incorporated in a-SLAM by modelling the acousticmap as a Random Finite Set (RFS) of multiple sources andexplicitly imposing models of the source dynamics. The proposedapproach is verified and its performance evaluated for realisticsimulated data.
AU - Evers,C
AU - Moore,A
AU - Naylor,P
DO - 10.1109/EUSIPCO.2016.7760400
PB - IEEE
PY - 2016///
SN - 2076-1465
TI - Localization of Moving Microphone Arrays from Moving Sound Sources for Robot Audition
UR - http://dx.doi.org/10.1109/EUSIPCO.2016.7760400
UR - http://hdl.handle.net/10044/1/38883
ER -
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