Toward Event-Based Noise-Robust High Density Particle Velocimetry

What is it about?

Particle velocimetry, a non-intrusive technique for measuring complex flow dynamics, has significantly contributed to the fields of aerospace, automotive engineering, biomedical research, and environmental science in recent years. The evolution of cutting-edge imaging technologies, alongside advancements in frame-based particle velocimetry techniques, has substantially enhanced the precision of measurements and the depth of fluid flow analyses. However, challenges related to the linearization between frames and the difficulties of measuring high gradient flows persist. Additionally, as the demand for higher accuracy grows, so too do the experimental complexity and equipment costs.

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Photo by Hermeus on Unsplash

Photo by Hermeus on Unsplash

Why is it important?

In this work, we introduce Particle Event Velocimetry (PEV), a novel particle velocimetry technique employing an emerging imaging modality called an event-based camera. Leveraging its unique design and temporal capabilities, our approach allows for the observation of individual particle movements with a substantial reduction in data volume without compromising temporal resolution. This approach not only maintains experimental simplicity but also ensures cost efficiency. The PEV system has demonstrated superior accuracy in benchmarking, obtained through the analysis of synthetic data for both frame-based and event-based systems. In addition, we have conducted real-world experiments to validate the effectiveness of our PEV technique under actual operational conditions.