A framework uses offline-paired LR/HR data and POD latent-space linear models with Kalman filtering to reconstruct high-resolution velocity fields from coarse real-time event-based velocimetry, outperforming cubic interpolation on turbulent jet and ribbed-channel flows.
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2026 1verdicts
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Real-Time Estimation of High-Resolution Flow Fields and Reduced-Order Coordinates from Event-Based Imaging Velocimetry
A framework uses offline-paired LR/HR data and POD latent-space linear models with Kalman filtering to reconstruct high-resolution velocity fields from coarse real-time event-based velocimetry, outperforming cubic interpolation on turbulent jet and ribbed-channel flows.