Unmanned Systems News

AI-Based Sonar Noise Cancelling

Published: 03 Mar 2021 by

Teledyne CARIS AI noise cancellationTeledyne CARIS has released a whitepaper explaining how artificial intelligence can be used to identify and remove a broad range of noise patterns from sonar mapping data gathered by USVs (unmanned surface vessels) and UUVs (unmanned underwater vessels).

Read the full whitepaper here

The whitepaper covers:

  • How noise arises from incorrect computations
  • The limitations of traditional software-based noise filtering and processing
  • Selecting the best AI technique, and a suitable dataset for training
  • Institutions using Teledyne CARIS’ Mira AI platform and Sonar Noise Classifier to provide consistency, efficiency and cost savings
  • Further AI-based features currently in development, including object detection and bathymetric LiDAR data processing

To find out more about AI-based sonar noise cancelling and Teledyne CARIS’ Mira AI platform, read the full whitepaper here.

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Posted by Mike Ball Mike Ball is our resident technical editor here at Unmanned Systems Technology. Combining his passion for teaching, advanced engineering and all things unmanned, Mike keeps a watchful eye over everything related to the unmanned technical sector. With over 10 years’ experience in the unmanned field and a degree in engineering, Mike’s been heading up our technical team here for the last 8 years. Connect & Contact