Integrated displacement tracking and sound localization

Parham Aarabi, Qing Wang, Masoud Yeganegi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

An algorithm for the robust localization of a vehicle using both displacement tracking and sound localization is proposed. The displacement tracking is performed by optical encoders that enable the turn angle and the movement distance of the vehicle to be estimated. The sound localization utilizes a speaker mounted on the vehicle and an array of 24 microphones deployed in the environment. The two modalities are integrated by modeling the displacement tracking uncertainty by a Gaussian Mixture Model (GMM) and combining it with the probability distribution obtained from the sound localization system. It is shown that the proposed integrated system results in an average localization error (at best 11cm) that is better than either modality alone.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
StatePublished - 2004
Externally publishedYes
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: May 17 2004May 21 2004

Other

OtherProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing
CountryCanada
CityMontreal, Que
Period5/17/045/21/04

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Acoustics and Ultrasonics

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  • Cite this

    Aarabi, P., Wang, Q., & Yeganegi, M. (2004). Integrated displacement tracking and sound localization. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 5)