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

Berend Wolf, Sietse van Netten

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

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.
Original languageEnglish
Title of host publication2019 IEEE Sensors Applications Symposium (SAS)
PublisherIEEE
Pages1-6
ISBN (Electronic)978-1-5386-7713-1
ISBN (Print)978-1-5386-7714-8
DOIs
Publication statusPublished - 6-May-2019
Event 2019 IEEE Sensors Applications Symposium (SAS) - Sophia Antipolis, France
Duration: 11-Mar-201913-Mar-2019

Conference

Conference 2019 IEEE Sensors Applications Symposium (SAS)
CountryFrance
CitySophia Antipolis
Period11/03/201913/03/2019

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