LE-DM introduces dynamic masking via signed-distance functions to enforce boundary kinematics in a single constrained solve for divergence-free velocity reconstruction around moving solids in volumetric PTV.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Filtering algorithms reconstruct trajectories of in-silico particles in a stirred tank reactor from noisy IMU data with errors below 10%.
citing papers explorer
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Dynamic masking for boundary-aware velocity reconstruction in volumetric particle tracking with moving solids
LE-DM introduces dynamic masking via signed-distance functions to enforce boundary kinematics in a single constrained solve for divergence-free velocity reconstruction around moving solids in volumetric PTV.
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Tracking in-silico Lagrangian sensors in a lab-scale stirred tank reactor
Filtering algorithms reconstruct trajectories of in-silico particles in a stirred tank reactor from noisy IMU data with errors below 10%.