Utilizing Time-of-Flight LIDARs for Spatial Audio Processing

Kanad Sarkar, Ryan M. Corey, Andrew C. Singer

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

Abstract

Methods for sensing acoustic displacement of a surface using optical means have included high speed video imagery, laser Doppler vibrometry, and sound-induced optical intensity. Methods for measuring sound from different points in space with a microphone array allow us to localize a source and focus audio recovery at specific points in space. When we combine these two concepts, we could theoretically have an array of optical sensors on a single device to perform single device spatial audio processing. Rotating LIDARs have become prevalent for use in rapid volumetric mapping and have the potential for acoustic recovery, allowing for simultaneous visual and acoustic mapping with one device. An ideal rotating LIDAR has the potential to simultaneously sense acoustic energy at numerous locations throughout an acoustic scene and may enable localization through processing the synthetically-induced array across the environment. We show the parameters that a rotating LIDAR would require for acoustic source localization. We also localize an acoustic source using a high precision light distance sensor.

Original languageEnglish (US)
Title of host publication55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1388-1392
Number of pages5
ISBN (Electronic)9781665458283
DOIs
StatePublished - 2021
Event55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021 - Virtual, Pacific Grove, United States
Duration: Oct 31 2021Nov 3 2021

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2021-October
ISSN (Print)1058-6393

Conference

Conference55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
Country/TerritoryUnited States
CityVirtual, Pacific Grove
Period10/31/2111/3/21

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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