Von Mises ensemble yields angular uncertainty estimates that integrate directly into tracking via closed-form likelihoods and shows stronger perturbation sensitivity than evidential deep learning on radar DOA tasks.
Detecting radar targets in range profiles with partially complex-valued neural networks,
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Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets
Von Mises ensemble yields angular uncertainty estimates that integrate directly into tracking via closed-form likelihoods and shows stronger perturbation sensitivity than evidential deep learning on radar DOA tasks.