Towards Practical Bi-Static Polarimetric Imaging Using Commodity mmWave Radars for Material Sensing

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Authors: Xinghua Sun, Akshay Gadre
Cited by: 4
References: 40

Abstract

Accurately identifying materials in real-world environments is critical for applications in robotics, security screening and autonomous systems. While more expensive approaches for material characterization such as spectroscopy or ellipsometry are ill-suited for large scale deployment, RF-based solutions present a new potential low-cost alternative. Prior RF-based material sensing approaches are either too invasive, suffer from lower resolution or are highly specialized in particular materials, presenting a need for a more general-purpose solution.

Fields of Study & Subjects

Optical Polarization and Ellipsometry Soil Moisture and Remote Sensing Terahertz technology and applications

Publication details

Journal / source
Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems
Publisher
ACM
Pages
172–185
Publication date
8 May 2026