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arXiv · 2603.07531

MIRO: Multi-radar Identity and Ranging for Occupational Safety

Tirthankar Halder·Argha Sen·Swadhin Pradhan·Rijurekha Sen·Sandip Chakraborty
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Abstract

Occupational exposure to airborne particulate matter (PM) poses a severe health risk in open industrial workspaces such as stonecutting yards. Conventional monitoring solutions such as wearable PM sensors and camera-based tracking are impractical due to discomfort, maintenance issues, and privacy concerns. We present MIRO, a privacy-preserving framework that integrates continuous PM sensing with a multi-radar millimeter-wave (mmWave) re-identification (re-ID) backbone. A distributed network of PM sensors captures localized pollutant concentrations, while spatially overlapping mmWave radars track and re-associate workers across viewpoints without relying on visual cues. To ensure identity consistency across radars, we introduce a GAN-based view adaptation network that compensates for azimuthal distortions in range-Doppler (RD) signatures, combined with correlation-based cross-radar matching. In controlled laboratory experiments, our system achieves a re-ID F1-score of 90.4% and a mean Structural Similarity Index Measure (SSIM) of 0.70 for view adaptation accuracy. Field trials in rural stone-cutting yards further validate the system's robustness, demonstrating reliable worker-specific PM exposure estimation.

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Tirthankar Halder, Argha Sen, Swadhin Pradhan, Rijurekha Sen, Sandip Chakraborty. 2026-03-08. MIRO: Multi-radar Identity and Ranging for Occupational Safety. https://arxiv.org/abs/2603.07531

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