Edge Radar Material Classification Under Geometry Shifts
Published in arXiv, 2026
We present a lightweight mmWave radar material classification pipeline designed for ultra-low-power edge devices (TI IWRL6432), using compact range-bin intensity descriptors and a Multilayer Perceptron (MLP) for real-time inference.
Recommended citation: Jannik Hohmann, Dong Wang, Andreas Nüchter (2026). "Edge Radar Material Classification Under Geometry Shifts."arXiv, 10(5).
Download Paper | Download Slides | Download Bibtex