A Minimal Metric for the Characterization of Acoustic Noise Emitted by Underwater Vehicles

Picardi, Giacomo, Borrelli, Clara, Sarti, Augusto , Chimienti, Giovanni and Calisti, Marcello (2020) A Minimal Metric for the Characterization of Acoustic Noise Emitted by Underwater Vehicles. Sensors, 20 (22). p. 6644. ISSN 1424-8220

Full content URL: https://doi.org/10.3390/s20226644

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Item Type:Article
Item Status:Live Archive

Abstract

Underwater robots emit sound during operations which can deteriorate the quality of acoustic data recorded by on-board sensors or disturb marine fauna during in vivo observations. Notwithstanding this, there have only been a few attempts at characterizing the acoustic emissions of underwater robots in the literature, and the datasheets of commercially available devices do not report information on this topic. This work has a twofold goal. First, we identified a setup consisting of a camera directly mounted on the robot structure to acquire the acoustic data and two indicators (i.e., spectral roll-off point and noise introduced to the environment) to provide a simple and intuitive characterization of the acoustic emissions of underwater robots carrying out specific maneuvers in specific environments. Second, we performed the proposed analysis on three underwater robots belonging to the classes of remotely operated vehicles and underwater legged robots. Our results showed how the legged device produced a clearly different signature compared to remotely operated vehicles which can be an advantage in operations that require low acoustic disturbance. Finally, we argue that the proposed indicators, obtained through a standardized procedure, may be a useful addition to datasheets of existing underwater robots

Keywords:underwater robotics, acoustic noise, underwater noise, ROV, underwater legged robots, ego-noise, visual census, benthic environment
Subjects:H Engineering > H671 Robotics
Divisions:College of Science > Lincoln Institute for Agri-Food Technology
ID Code:46141
Deposited On:24 Aug 2021 13:31

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