Real-Time and On-Site Aerodynamics using Stereoscopic PIV and Deep Optical Flow Learning

The method

Taking the wind tunnel to the measurement, in real time

Particle image velocimetry is the gold standard for measuring flow fields — but classical cross-correlation processing keeps it offline and lab-bound. This work pairs stereoscopic PIV with deep optical-flow networks to deliver dense, three-component velocity fields in real time and on site, opening experimental aerodynamics to settings where conventional PIV processing is too slow.

On-site stereoscopic PIV: dense velocity fields reconstructed in real time with deep optical flow.

Contributions

What the paper delivers

Learning-based PIV processing

Deep optical-flow models estimate dense particle displacement fields directly from image pairs, replacing iterative cross-correlation.

Real-time stereoscopic pipeline

End-to-end processing fast enough for live, on-site measurement of three-component velocity fields.

Validated against classical PIV

Accuracy benchmarked against state-of-the-art conventional processing, establishing trust in the learned estimates.

Reference

Citation

@article{elrefaie2024piv,
  title   = {Real-time and on-site aerodynamics using stereoscopic PIV
             and deep optical flow learning},
  author  = {Elrefaie, Mohamed and H{\"u}ttig, Steffen and Gladkova, Mariia and
             Gericke, Timo and Cremers, Daniel and Breitsamter, Christian},
  journal = {Experiments in Fluids},
  volume  = {65},
  year    = {2024},
  publisher = {Springer Nature}
}

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