Robust Sound Source Localization considering Similarity of Back-Propagation Signals

Cited 2 time in webofscience Cited 0 time in scopus
  • Hit : 146
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorAn, Inkyuko
dc.contributor.authorJo, Byeonghoko
dc.contributor.authorKWON, YOUNGSUNko
dc.contributor.authorChoi, Jung-Wooko
dc.contributor.authorYoon, Sung-Euiko
dc.date.accessioned2020-10-22T08:56:10Z-
dc.date.available2020-10-22T08:56:10Z-
dc.date.created2020-10-14-
dc.date.created2020-10-14-
dc.date.created2020-10-14-
dc.date.issued2020-05-31-
dc.identifier.citationIEEE International Conference on Robotics and Automation (ICRA), pp.1574 - 1580-
dc.identifier.issn1050-4729-
dc.identifier.urihttp://hdl.handle.net/10203/276900-
dc.description.abstractWe present a novel, robust sound source localization algorithm considering back-propagation signals. Sound propagation paths are estimated by generating direct and reflection acoustic rays based on ray tracing in a backward manner. We then compute the back-propagation signals by designing and using the impulse response of the backward sound propagation based on the acoustic ray paths. For identifying the 3D source position, we use a well-established Monte Carlo localization method. Candidates for a source position are determined by identifying convergence regions of acoustic ray paths. Those candidates are validated by measuring similarities between back-propagation signals, under the assumption that the back-propagation signals of different acoustic ray paths should be similar near the ground-truth sound source position. Thanks to considering similarities of back-propagation signals, our approach can localize a source position with an averaged error of 0.55 m in a room of 7 m by 7 m area with 3 m height in tested environments. We also place additional 67 dB and 77 dB white noise at the background, to test the robustness of our approach. Overall, we observe a 7 % to 100 % improvement in accuracy over the state-of-the-art method.-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleRobust Sound Source Localization considering Similarity of Back-Propagation Signals-
dc.typeConference-
dc.identifier.wosid000712319501030-
dc.identifier.scopusid2-s2.0-85092715345-
dc.type.rimsCONF-
dc.citation.beginningpage1574-
dc.citation.endingpage1580-
dc.citation.publicationnameIEEE International Conference on Robotics and Automation (ICRA)-
dc.identifier.conferencecountryFR-
dc.identifier.conferencelocationParis, France-
dc.identifier.doi10.1109/icra40945.2020.9196743-
dc.contributor.localauthorChoi, Jung-Woo-
dc.contributor.localauthorYoon, Sung-Eui-
Appears in Collection
EE-Conference Papers(학술회의논문)CS-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 2 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0