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Related Experiment Video

Updated: Jun 27, 2025

Wideband Optical Detector of Ultrasound for Medical Imaging Applications

Wideband Optical Detector of Ultrasound for Medical Imaging Applications

Published on: May 11, 2014

Robust acoustic directional sensing enabled by synergy between resonator-based sensor and deep learning.

Ziqi Yu¹, Xiaopeng Li², Hojung Jung³

¹Toyota Research Institute of North America, Toyota Motor North America, Ann Arbor, MI, 48105, USA. ziqi.yu@toyota.com.

Scientific Reports

|May 2, 2024

Summary

We combined resonator acoustic sensors with deep learning for enhanced signal detection. This synergy improves directional accuracy for various sound signals, aiding applications like autonomous driving.

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Area of Science:

Acoustic sensing
Deep learning
Signal processing

Background:

Resonator-based acoustic sensors offer potential for compact and sensitive detection.
Deep learning models, particularly Convolutional Neural Networks (CNNs), excel at complex pattern recognition in noisy data.

Purpose of the Study:

To investigate the synergistic effect of resonator-based acoustic sensors and deep learning for enhanced acoustic sensing.
To evaluate the performance of a combined system in accurately predicting the incident direction of acoustic signals.

Main Methods:

Numerical verification of vibration amplitude and phase enhancement in a three-cavity resonator.
Experimental measurement of sensor response to single-frequency and siren signals.
Training Convolutional Neural Networks (CNNs) using both amplitude and phase features from the resonator sensor data.

Main Results:

Both vibration amplitude and phase were enhanced and preserved at and off resonance.
CNNs trained with amplitude and phase features achieved superior accuracy in predicting signal direction.
The synergetic approach significantly outperformed reference sensors without resonators, especially with broadband and noisy signals.

Conclusions:

The combination of resonant effects and deep learning offers a complementary advantage for acoustic sensing.
This approach enhances the performance of compact acoustic sensors for both narrow- and broadband signals.
The developed technology shows promise for advanced sensing applications, including autonomous vehicle systems for emergency vehicle detection.