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Three-dimensional particle tracking velocimetry using dynamic vision sensors


Borer, D; Delbruck, T; Rösgen, T (2017). Three-dimensional particle tracking velocimetry using dynamic vision sensors. Experiments in Fluids:58:165.

Abstract

A fast-flow visualization method is presented based on tracking neutrally buoyant soap bubbles with a set of neuromorphic cameras. The “dynamic vision sensors” register only the changes in brightness with very low latency, capturing fast processes at a low data rate. The data consist of a stream of asynchronous events, each encoding the corresponding pixel position, the time instant of the event and the sign of the change in logarithmic intensity. The work uses three such synchronized cameras to perform 3D particle tracking in a medium sized wind tunnel. The data analysis relies on Kalman filters to associate the asynchronous events with individual tracers and to reconstruct the three-dimensional path and velocity based on calibrated sensor information.

Abstract

A fast-flow visualization method is presented based on tracking neutrally buoyant soap bubbles with a set of neuromorphic cameras. The “dynamic vision sensors” register only the changes in brightness with very low latency, capturing fast processes at a low data rate. The data consist of a stream of asynchronous events, each encoding the corresponding pixel position, the time instant of the event and the sign of the change in logarithmic intensity. The work uses three such synchronized cameras to perform 3D particle tracking in a medium sized wind tunnel. The data analysis relies on Kalman filters to associate the asynchronous events with individual tracers and to reconstruct the three-dimensional path and velocity based on calibrated sensor information.

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2 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Physical Sciences > Computational Mechanics
Physical Sciences > Mechanics of Materials
Physical Sciences > General Physics and Astronomy
Physical Sciences > Fluid Flow and Transfer Processes
Language:English
Date:2017
Deposited On:01 Mar 2018 12:57
Last Modified:28 Jul 2020 13:38
Publisher:Springer
OA Status:Closed
Publisher DOI:https://doi.org/10.1007/s00348-017-2452-5

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