Hydrodynamic Imaging using an all-optical 2D Artificial Lateral Line

Berend Wolf, Sietse van Netten

OnderzoeksoutputAcademicpeer review

5 Citaten (Scopus)

Samenvatting

Fish and amphibians can sense their hydrodynamic environment via fluid flow sensing organs, called lateral lines. Using this lateral line they are able to detect disturbances in the hydrodynamic near field which enables hydrodynamic imaging, i.e. obstacle detection. Via two experiments we demonstrate a novel artificial lateral line of four bio-inspired 2D fluid flow sensors and show that the measurements of the enacted sensors agree with an established hydrodynamic model. These measurements from the array are then used to localize both vibrating and unidirectionally moving objects using an artificial neural network in a bounded area of 36 by 11 cm which extends beyond the area directly in front of the sensor array. In this area, the average Euclidean localization error is 1.3 cm for a vibrating object, while for moving a object it is on average 3.3 cm.
Originele taal-2English
Titel2019 IEEE Sensors Applications Symposium (SAS)
UitgeverijIEEE
Pagina's1-6
ISBN van elektronische versie978-1-5386-7713-1
ISBN van geprinte versie978-1-5386-7714-8
DOI's
StatusPublished - 6-mei-2019
Evenement 2019 IEEE Sensors Applications Symposium (SAS) - Sophia Antipolis, France
Duur: 11-mrt-201913-mrt-2019

Conference

Conference 2019 IEEE Sensors Applications Symposium (SAS)
LandFrance
StadSophia Antipolis
Periode11/03/201913/03/2019

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