arxiveess.SPcs.AImath.PR2026-06-30
Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets
This work investigates uncertainty-aware deep learning approaches for direction of arrival (DOA) estimation in automotive radar, focusing on probabilistic modeling and downstream integration. A circular-statistics-based von Mises (VM) ensemble (ENS) is compared with an evidential…