Towards passive non-line-of-sight acoustic localization around corners using uncontrolled random noise sources

Jeremy Boger-Lombard, Yevgeny Slobodkin, Ori Katz*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Non-line-of-sight (NLoS) imaging is an important challenge in many fields ranging from autonomous vehicles and smart cities to defense applications. Several recent works in optics and acoustics tackle the challenge of imaging targets hidden from view (e.g. placed around a corner) by measuring time-of-flight information using active SONAR/LiDAR techniques, effectively mapping the Green functions (impulse responses) from several controlled sources to an array of detectors. Here, leveraging passive correlations-based imaging techniques (also termed ’acoustic daylight imaging’), we study the possibility of acoustic NLoS target localization around a corner without the use of controlled active sources. We demonstrate localization and tracking of a human subject hidden around a corner in a reverberating room using Green functions retrieved from correlations of broadband uncontrolled noise sources recorded by multiple detectors. Our results demonstrate that for NLoS localization controlled active sources can be replaced by passive detectors as long as a sufficiently broadband noise is present in the scene.

Original languageAmerican English
Article number4952
JournalScientific Reports
Issue number1
StatePublished - Dec 2023

Bibliographical note

Funding Information:
This work has received funding from the European Research Council under the European Union’s Horizon 2020 Research and Innovation Program grant number 101002406, and the Israel Science Foundation (grant number 1361/18).

Publisher Copyright:
© 2023, The Author(s).


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