Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/43172
Title: Large-Scale Particle Image Velocimetry from an Unmanned Aerial Vehicle
Authors: Tauro, Flavia 
Pagano, Christopher
Phamduy, Paul
Grimaldi, Salvatore 
Porfiri, Maurizio
Journal: IEEE/ASME TRANSACTIONS ON MECHATRONICS 
Issue Date: 2015
Abstract: 
© 1996-2012 IEEE. Large-scale particle image velocimetry (LSPIV) enables nonintrusive and continuous characterization of surface flow velocities in natural watersheds. However, current LSPIV implementations are based on fixed cameras that only allow for surface flow monitoring at a limited number of locations on the water stream. This paper seeks to leverage the growing field of unmanned aerial vehicles to transform LSPIV practice, by enabling rapid characterization of large water flow systems in areas that may be difficult to access by human operators. Toward this aim, a lightweight and low cost quadrotor is developed to host a digital acquisition system for LSPIV. A gimbal is realized in house to maintain the camera lens orthogonal with respect to the water surface, thus preventing image orthorectification. Field experiments demonstrate that the vehicle is able to stably hover above an area of 1 × 12 for 4 min with a payload of 532, g. The feasibility of quadrotor-based LSPIV is demonstrated through tests in an outdoor laboratory setting and over a natural stream.
URI: http://hdl.handle.net/2067/43172
ISSN: 1083-4435
DOI: 10.1109/TMECH.2015.2408112
Rights: CC0 1.0 Universal
Appears in Collections:A1. Articolo in rivista

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