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Live Demonstration of eRTIS, an Embedded Real-Time Imaging Sonar Sensor | IEEE Conference Publication | IEEE Xplore

Live Demonstration of eRTIS, an Embedded Real-Time Imaging Sonar Sensor


Abstract:

In recent years, our research group has developed state of the art 3D sonar sensors [1] , [2] which use a low-cost MEMS microphone array for real-time acoustic imaging in...Show More

Abstract:

In recent years, our research group has developed state of the art 3D sonar sensors [1] , [2] which use a low-cost MEMS microphone array for real-time acoustic imaging in air. Using this sensor, various robotic applications have been de-veloped [1] , including obstacle avoidance, corridor following and SLAM. The developed sensor is capable of localizing an arbitrary number of reflectors, and generates 2D (range versus azimuth) or 3D (range versus azimuth and elevation) acoustic images of the environment by emitting a broadband, spatially omnidirectional acoustic emission. This emission is reflected back by the environment to the microphone array. Using array beamforming algorithms an acoustic image of the environment is created, which subsequently can be either visualized or used in various control algorithms. The overview of the developed sensor array can be seen in figure 1 .
Published in: 2019 IEEE SENSORS
Date of Conference: 27-30 October 2019
Date Added to IEEE Xplore: 14 January 2020
ISBN Information:

ISSN Information:

Conference Location: Montreal, QC, Canada
References is not available for this document.

I. Introduction

In recent years, our research group has developed state of the art 3D sonar sensors [1], [2] which use a low-cost MEMS microphone array for real-time acoustic imaging in air. Using this sensor, various robotic applications have been de-veloped [1], including obstacle avoidance, corridor following and SLAM. The developed sensor is capable of localizing an arbitrary number of reflectors, and generates 2D (range versus azimuth) or 3D (range versus azimuth and elevation) acoustic images of the environment by emitting a broadband, spatially omnidirectional acoustic emission. This emission is reflected back by the environment to the microphone array. Using array beamforming algorithms an acoustic image of the environment is created, which subsequently can be either visualized or used in various control algorithms. The overview of the developed sensor array can be seen in figure 1.

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1.
J. Steckel and H. Peremans, "Acoustic Flow-Based Control of a Mobile Platform Using a 3D Sonar Sensor", IEEE Sensors Journal, vol. 17, no. 10, pp. 3131-3141, may 2017, [online] Available: http://ieeexplore.ieee.org/document/7888490/.
2.
J. Steckel, A. Boen and H. Peremans, "Broadband 3-D Sonar System Using a Sparse Array for Indoor Navigation", IEEE Transactions on Robotics, vol. 29, no. 1, pp. 161-171, feb 2013, [online] Available: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6331017.

References

References is not available for this document.