IEEE CIR: 3D Non-Line-of-Sight Imaging Using Terahertz Signals
Although traditional optical cameras can produce high-resolution pictures, using a terahertz (THz) camera, we can see objects that are not only in the direct line-of-sight but also occluded. This can inspire new applications ranging from autonomous navigation to wireless communications.
In this talk, we propose a THz non-line-of-sight (NLoS) imaging method that can help us reveal invisible targets behind occlusions. This method takes advantage of wave scattering from LoS rough surfaces to transmit signals to the NLoS scene. We show that common building materials can perform similar to mirrors in the THz range such that an NLoS scene can be imaged via the signal specular reflections from them. However, this phenomenon also results in incorrect raw images as the NLoS objects would appear at the wrong locations with false orientations. Therefore, we introduce the mirror folding method which can account for the signal reflections and correct the raw images. We also demonstrate the proposed THz NLoS imaging approach using experiments in various scenarios. The results show that the hidden scene can be properly reconstructed with centimeter-scale resolution at several meters away.
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- Date: 12 May 2022
- Time: 05:30 PM to 07:00 PM
- All times are (GMT-07:00) US/Mountain
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- 2155 East Wesley Avenue
- Denver, Colorado
- United States 80208
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https://r5.ieee.org/denver-cs/upcoming-presenters/
Speakers
Mr. Yiran Cui of School of Electrical, Computer and Energy Engineering, Arizona State University
3D Non-Line-of-Sight Imaging Using Terahertz Signals
Although traditional optical cameras can produce high-resolution pictures, using a terahertz (THz) camera, we can see objects that are not only in the direct line-of-sight but also occluded. This can inspire new applications ranging from autonomous navigation to wireless communications.
In this talk, we propose a THz non-line-of-sight (NLoS) imaging method that can help us reveal invisible targets behind occlusions. This method takes advantage of wave scattering from LoS rough surfaces to transmit signals to the NLoS scene. We show that common building materials can perform similar to mirrors in the THz range such that an NLoS scene can be imaged via the signal specular reflections from them. However, this phenomenon also results in incorrect raw images as the NLoS objects would appear at the wrong locations with false orientations. Therefore, we introduce the mirror folding method which can account for the signal reflections and correct the raw images. We also demonstrate the proposed THz NLoS imaging approach using experiments in various scenarios. The results show that the hidden scene can be properly reconstructed with centimeter-scale resolution at several meters away.
Biography:
Mr. Yiran Cui is currently pursuing his Ph.D. degree in the School of Electrical, Computer and Energy Engineering, Arizona State University. Mr. Cui received his Bachelor’s and Master’s degrees from Anhui Normal University, Wuhu, China, in 2012, and University of Electronic Science and Technology of China, Chengdu, China, in 2015, respectively. Mr. Cui’s research interests mainly include quasi-optical techniques, mmW/THz imaging applications, mmW/THz measurements, and antennas.