Bat-G net: Bat-inspired High-Resolution 3D Image Reconstruction using Ultrasonic Echoes
Gunpil Hwang, Seohyeon Kim, Hyeon-Min Bae
Abstract
In this paper, a bat-inspired high-resolution ultrasound 3D imaging system is presented. Live bats demonstrate that the properly used ultrasound can be used to perceive 3D space. With this in mind, a neural network referred to as a Bat-G network is implemented to reconstruct the 3D representation of target objects from the hyperbolic FM (HFM) chirped ultrasonic echoes. The Bat-G network consists of an encoder emulating a bat's central auditory pathway, and a 3D graphical visualization decoder. For the acquisition of the ultrasound data, a custom-made Bat-I sensor module is used. The Bat-G network shows the uniform 3D reconstruction results and achieves precision, recall, and F1-score of 0.896, 0.899 and 0.895, respectively. The experimental results demonstrate the implementation feasibility of a high-resolution non-optical sound-based imaging system being used by live bats. The project web page (https://sites.google.com/view/batgnet) contains additional content summarizing our research.
BibTeX
@inproceedings{NEURIPS2019_5352696a,
author = {Hwang, Gunpil and Kim, Seohyeon and Bae, Hyeon-Min},
booktitle = {Advances in Neural Information Processing Systems},
editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett},
pages = {},
publisher = {Curran Associates, Inc.},
title = {Bat-G net: Bat-inspired High-Resolution 3D Image Reconstruction using Ultrasonic Echoes},
url = {https://proceedings.neurips.cc/paper_files/paper/2019/file/5352696a9ca3397beb79f116f3a33991-Paper.pdf},
volume = {32},
year = {2019}
}