Bat-G Net: Bat-Inspired High-Resolution 3D Image Reconstruction Using Ultrasonic Echoes
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.
Cite
Text
Hwang et al. "Bat-G Net: Bat-Inspired High-Resolution 3D Image Reconstruction Using Ultrasonic Echoes." Neural Information Processing Systems, 2019.Markdown
[Hwang et al. "Bat-G Net: Bat-Inspired High-Resolution 3D Image Reconstruction Using Ultrasonic Echoes." Neural Information Processing Systems, 2019.](https://mlanthology.org/neurips/2019/hwang2019neurips-batg/)BibTeX
@inproceedings{hwang2019neurips-batg,
title = {{Bat-G Net: Bat-Inspired High-Resolution 3D Image Reconstruction Using Ultrasonic Echoes}},
author = {Hwang, Gunpil and Kim, Seohyeon and Bae, Hyeon-Min},
booktitle = {Neural Information Processing Systems},
year = {2019},
pages = {3720-3731},
url = {https://mlanthology.org/neurips/2019/hwang2019neurips-batg/}
}