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Detecting Acoustic Reflector using a Robot's Ego-noise

Citation Author(s):
Usama Saqib, Antoine Deleforge, Jesper Rindom Jensen
Submitted by:
Usama Saqib
Last updated:
25 June 2021 - 6:44am
Document Type:
Poster
Document Year:
2021
Event:
Presenters Name:
Usama Saqib
Paper Code:
AUD-17.2

Abstract 

Abstract: 

In this paper, we propose a method to estimate the proximity of an acoustic reflector, e.g., a wall, using ego-noise, i.e., the noise produced by the moving parts of a listening robot. This is achieved by estimating the times of arrival of acoustic echoes reflected from the surface. Simulated experiments show that the proposed non-intrusive approach is capable of accurately estimating the distance of a reflector up to 1 meter and outperforms a previously proposed intrusive approach under loud ego-noise conditions. The proposed method is helped by a probabilistic echo detector that estimates whether or not an acoustic reflector is within a short range of the robotic platform. This preliminary investigation paves the way towards a new kind of collision avoidance system that would purely rely on audio sensors rather than conventional proximity sensors.

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Dataset Files

Poster_for_ICASSP_2021.pdf

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Detecting-acoustic-reflector-localization-using-robot-ego-noise-main.zip

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