Three-dimensional particle tracking velocimetry using dynamic vision sensors
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...
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| Veröffentlicht in: | Experiments in fluids 2017-12, Vol.58 (12), p.1-7, Article 165 |
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| creator | Borer, D. Delbruck, T. Rösgen, T. |
| description | 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. |
| doi_str_mv | 10.1007/s00348-017-2452-5 |
| format | Article |
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| ispartof | Experiments in fluids, 2017-12, Vol.58 (12), p.1-7, Article 165 |
| issn | 0723-4864 1432-1114 |
| language | eng |
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| source | SpringerNature Journals |
| subjects | Cameras Data analysis Engineering Engineering Fluid Dynamics Engineering Thermodynamics Flow visualization Fluid- and Aerodynamics Heat and Mass Transfer Kalman filters Letter Particle tracking Particle tracking velocimetry Sensors Software reviews Tracers Velocity measurement Wind tunnels |
| title | Three-dimensional particle tracking velocimetry using dynamic vision sensors |
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