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Pré-Publication, Document De Travail Année : 2022

Polygonal Shapes Reconstruction from Acoustic Echoes Using a Mobile Sensor and Beamforming

Résumé

Mapping a structure, such as a metal plate in a ship hull, using acoustic echoes typically requires making assumptions on its shape (e.g. rectangular). This work introduces a more general beamforming approach to recover the geometry of arbitrary polygonal-shaped bounded areas from acoustic reflections. Our method only requires a single omnidirectional emitterreceiver acoustic device mounted on a mobile platform. We apply beamforming to the acoustic measurements in the geometrical boundary space. We subsequently retrieve the edges from the beamforming results via the minimization of a regularized cost criterion, using a simulated annealing optimizer. We also design a boundary rejection criterion so that their exact number can be recovered based only on a specified upper bound. We assess our method on different geometries in a simulation environment and a real-world setting using ultrasonic guided waves measurements. The results demonstrate that it is efficient for achieving the targeted objectives.
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Dates et versions

hal-03615795 , version 1 (21-03-2022)

Identifiants

  • HAL Id : hal-03615795 , version 1

Citer

Othmane-Latif Ouabi, Jiawei Yi, Neil Zeghidour, Nico Declercq, Matthieu Geist, et al.. Polygonal Shapes Reconstruction from Acoustic Echoes Using a Mobile Sensor and Beamforming. 2022. ⟨hal-03615795⟩
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