Numerical simulations of industrial and geophysical fluid flows cannot usually solve the
exact Navier–Stokes equations. Accordingly, they encompass strong local errors. For some …

Particle image velocimetry (PIV), as a common technology for analyzing the global flow
motion from images, plays a significant role in experimental fluid mechanics. In this article …

In this paper, we propose a supervised learning strategy for the fluid motion estimation
problem (ie, extracting the velocity fields from particle images). The purpose of this work is to …

We survey the current state of the art in industrial gas sensing, explaining how existing
sensing techniques estimate gas concentration, column density, total volume, and leak rate …

Supervised deep learning methods reported recently have shown promising capability and
efficiency in particle image velocimetry (PIV) processes compared to the traditional cross …

Existing mid-infrared thermographic cameras rely on a stack of refractive lenses, resulting in
bulky and heavy imaging systems that restrict their broader utility. Here, we demonstrate a …

We propose a novel approach to background-oriented schlieren (BOS) tomography (BOST)
that unifies the deflection sensing and reconstruction algorithms. BOS is a 2D flow …

Particle image velocimetry (PIV), as a key technique in experimental fluid mechanics, is able
to estimate complex velocity field through consecutive input particle images. In this study, an …

This manuscript details recent improvements in a wavelet-based optical flow velocimetry
(wOFV) method that represents a more physically sound implementation and results in …

We present a benchmark study of Optical Flow (OpF) methods for fluid mechanics
applications. It is aimed at assessing the performance of three OpF methods, Lucas and …