• DocumentCode
    663848
  • Title

    Creation of radiated sound intensity maps using multi-modal measurements onboard an autonomous mobile platform

  • Author

    Even, J. ; Kallakuri, Nagasrikanth ; Morales, Yaileth ; Ishi, Carlos ; Hagita, Norihiro

  • Author_Institution
    ATR Intell. Robot. & Commun. Labs., Kyoto, Japan
  • fYear
    2013
  • fDate
    3-7 Nov. 2013
  • Firstpage
    3433
  • Lastpage
    3438
  • Abstract
    This paper presents a method for mapping the radiated sound intensity of an environment using an autonomous mobile platform. The sound intensities radiated by the objects are estimated by combining the sound intensity at the platform´s position (estimated with a steered response power algorithm) and the distances to the objects (estimated using laser range finders). By combining the estimated sound intensity at the platform´s position with the platform´s pose obtained from a particle filter based localization algorithm, the sound intensity radiated from the objects is registered in the cells of a grid map covering the environment. This procedure creates a map of the radiated sound intensity that contains information about the sound directivity. To illustrate the effectiveness of the proposed method, a map of radiated sound intensity is created for a test environment. Then the position and the directivity of the sound sources in the test environment are estimated from this map.
  • Keywords
    acoustic intensity; acoustic signal processing; laser ranging; mobile robots; particle filtering (numerical methods); autonomous mobile platform; estimated sound intensity; grid map; laser range finders; multimodal measurements; particle filter based localization algorithm; radiated sound intensity maps; sound directivity; sound sources; steered response power algorithm; test environment; Estimation; Kalman filters; Loudspeakers; Microphone arrays; Mobile communication; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    2153-0858
  • Type

    conf

  • DOI
    10.1109/IROS.2013.6696845
  • Filename
    6696845