This study explores a bio-inspired fluid-sensing strategy, based on the lateral line system found in bony fish, which could enhance environmental perception for autonomous vehicles, particularly in low-visibility environments. The research involves first-step experimental proof-of-concept with a scaled circular cylinder in a steady inflow and a downstream vehicle body with mounted sensors to evaluate the viability of detecting upstream obstacles through wake information. Measurements were taken from a series of sensors positioned at various locations downstream of the cylinder, with flow speeds and vortex shedding frequencies analyzed to estimate cylinder diameter and location. The accuracy and repeatability of the sensing strategy were assessed by comparing the estimated cylinder diameter against the known value, using the Fast Fourier Transform (FFT) to identify vortex shedding frequencies and applying a confidence factor to refine the results. Preliminary results indicate that the bio-inspired sensing strategy is effective in a real fluid environment, with promising potential for autonomous vehicle navigation and obstacle detection.

Experimental Proof-of-Concept of Passive Bio-Inspired Sensing Strategy for Autonomous Underwater Vehicles

Greco M.
Membro del Collaboration Group
;
Lugni C.
Membro del Collaboration Group
2025

Abstract

This study explores a bio-inspired fluid-sensing strategy, based on the lateral line system found in bony fish, which could enhance environmental perception for autonomous vehicles, particularly in low-visibility environments. The research involves first-step experimental proof-of-concept with a scaled circular cylinder in a steady inflow and a downstream vehicle body with mounted sensors to evaluate the viability of detecting upstream obstacles through wake information. Measurements were taken from a series of sensors positioned at various locations downstream of the cylinder, with flow speeds and vortex shedding frequencies analyzed to estimate cylinder diameter and location. The accuracy and repeatability of the sensing strategy were assessed by comparing the estimated cylinder diameter against the known value, using the Fast Fourier Transform (FFT) to identify vortex shedding frequencies and applying a confidence factor to refine the results. Preliminary results indicate that the bio-inspired sensing strategy is effective in a real fluid environment, with promising potential for autonomous vehicle navigation and obstacle detection.
2025
Istituto di iNgegneria del Mare - INM (ex INSEAN)
9781643686103
Bio-inspired Flow Sensing, Artificial Lateral Line, Micro-anemometry Sensors, Experiments, HydrodynamicWake, Object Detection, Underwater Robotics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/563107
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