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Found 7 papers, 2 papers with code
Learning Efficient Navigation in Vortical Flow Fields
Efficient point-to-point navigation in the presence of a background flow field is important for robotic applications such as ocean surveying.
A single-camera, 3D scanning velocimetry system for quantifying active particle aggregations
A three-dimensional (3D) scanning velocimetry system is developed to quantify the 3D configurations of particles and their surrounding volumetric, three-component velocity fields.
3D Object Reconstruction
Time Series Analysis
Fluid Dynamics
Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network
Wind energy resource quantification, air pollution monitoring, and weather forecasting all rely on rapid, accurate measurement of local wind conditions.
Model parameter estimation using coherent structure coloring
We propose to instead use error in the coherent structure coloring (CSC) field to assess model skill.
Simultaneous Coherent Structure Coloring facilitates interpretable clustering of scientific data by amplifying dissimilarity
sCSC performs a sequence of binary splittings on the dataset such that the most dissimilar data points are required to be in separate clusters.
Identification of individual coherent sets associated with flow trajectories using Coherent Structure Coloring
We present a method for identifying the coherent structures associated with individual Lagrangian flow trajectories even where only sparse particle trajectory data is available.
Coherent structure coloring: identification of coherent structures from sparse data using graph theory
We present a frame-invariant method for detecting coherent structures from Lagrangian flow trajectories that can be sparse in number, as is the case in many fluid mechanics applications of practical interest.
