OmniAD: Data-driven Omni-directional Aerodynamics


This paper introduces “OmniAD,” a novel data-driven pipeline to model and acquire the aerodynamics of three-dimensional rigid objects.

July 27, 2015



Tobias Martin (ETH Zurich)

Nobuyuki Umetani (Disney Research)

Bernd Bickel (IST Austria)

OmniAD: Data-driven Omni-directional Aerodynamics


Traditionally, aerodynamics are examined through elaborate wind tunnel experiments or expensive fluid dynamics computations and are only measured for a small number of discrete wind directions. OmniAD allows the evaluation of aerodynamic forces, such as drag and lift, for any incoming wind direction using a novel representation based on spherical harmonics. Our datadriven technique acquires the aerodynamic properties of an object simply by capturing its falling motion using a single camera. Once model parameters are estimated, OmniAD enables realistic realtime simulation of rigid bodies, such as the tumbling and gliding of leaves, without simulating the surrounding air. In addition, we propose an intuitive user interface based on OmniAD to interactively design three-dimensional kites that actually fly. Various nontraditional kites were designed to demonstrate the physical validity of our model.

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