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In this paper a novel Simultaneous Localization and
Mapping (SLAM) is presented. Using the sound as the
input signal, instead of the classical vision or laser
systems, leads to a SSLAM (sound SLAM) with a new
features, such as the use of a Linear Parameter Varying
(LPV) Kalman filter rather than the classical Extended
Kalman filter. The other novelty is the modeling of sound
reverberation using LPV models. The work is an
extension under development from previous research
group’s works. The experimental partial results and the
theoretical developments encourage authors to follow
this unexplored line of SSLAM.
CitationGuerra, E. [et al.]. New approach on bearing-only SLAM for indoor environments. A: IEEE International Conference on Emerging Technologies and Factory Automation. "Emerging Technologies & Factory Automation (ETFA), 2011 IEEE 16th Conference on". Toulouse: 2011, p. 1-4.
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