論文

査読有り
2017年4月

Probabilistic 3-D Mapping of Sound-Emitting Structures Based on Acoustic Ray Casting

IEEE TRANSACTIONS ON ROBOTICS
  • Jani Even
  • ,
  • Jonas Furrer
  • ,
  • Yoichi Morales
  • ,
  • Carlos Toshinori Ishi
  • ,
  • Norihiro Hagita

33
2
開始ページ
333
終了ページ
345
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1109/TRO.2016.2630053
出版者・発行元
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

This paper presents a two-step framework for creating the three-dimensional (3-D) sound map of an environment with a mobile robot. The first step is the creation of a map that describes the geometry of the environment. The second step is the addition of the acoustic information to the geometric map. The result is a sound map that shows the probability of emitting sound for all the structures in the environment. To build the sound map, a mobile robot equipped with a microphone array drives through the mapped environment. During this drive, the acoustic information gathered by the microphone array is accumulated in a probabilistic manner. First, the likelihood of sound source presence in a set of directions is evaluated from the acoustic power received from these directions. Then, using an estimate of the robot's pose, an acoustic ray casting procedure transfers this likelihood to the structures in the geometric map. Finally, the probability that these structures emit sound is updated accordingly to the likelihood. Experimental results show that the sound maps are: accurate as it was possible to localize sound sources in 3-D and practical as different types of environments were mapped.

リンク情報
DOI
https://doi.org/10.1109/TRO.2016.2630053
DBLP
https://dblp.uni-trier.de/rec/journals/trob/EvenFMIH17
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000399348900006&DestApp=WOS_CPL
URL
http://dblp.uni-trier.de/db/journals/trob/trob33.html#journals/trob/EvenFMIH17
ID情報
  • DOI : 10.1109/TRO.2016.2630053
  • ISSN : 1552-3098
  • eISSN : 1941-0468
  • DBLP ID : journals/trob/EvenFMIH17
  • Web of Science ID : WOS:000399348900006

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