Author

S. Hoefler

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Preprint Aug 2026

You Only Flow Once: Calibrated and Real-Time Radar Pose Estimation with Multi-Hypothesis Normalizing Flows

This work proposes Multi-Hypothesis Normalizing Flow Pose Generator (MH-NFPG), which models pose distributions from radar point clouds using a conditional normalizing flow that transforms a Laplace base distribution into an expressive posterior, generated in parallel through a single forward pass.

J. Mueller, S. Hoefler, D. Zanca et al. · 0 citations