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Remote Awareness of Seafloor Images Collected by AUVs over Low-Bandwidth Communication Links

Adrian Bodenmann, Cailei Liang, Miquel Massot‐Campos, Samuel Simmons, Alexander B. Phillips, Alberto Consensi, Matthew Kingsland, Rashiid Sherif, S. E. Brown, Adam Riese
July 20, 2026
Published Date

Research Abstract & Technology Focus

This paper introduces a method for real-time processing and transmission of autonomous underwater vehicle (AUV) imagery over low-bandwidth communication links. It leverages artificial intelligence (AI) techniques to identify a set of images that best represent an entire dataset, or automatically finds the most similar images to a given query image for transmission to operators. Combined with metadata of a larger set of images, compressed versions of the selected images can be transmitted over satellite communication links or underwater modems, and provide operators on shore with information about the type of imagery the AUV is collecting while it is still deployed. Data from three deployments off the coast of the UK and in Gran Canaria using different AUVs and imaging systems demonstrate the method in the field. It achieved an almost 400,000-fold reduction in data volume compared to the raw data size, enabling transmission of data summaries of a 2-hour 47-minute-long mapping mission in just over 34 minutes over low-bandwidth satellite communication.
Computer science Metadata Underwater Remote sensing Data set Transmission (telecommunications)
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What is the core focus of the research titled 'Remote Awareness of Seafloor Images Collected by AUVs over Low-Bandwidth Communication Links'?

This literature focuses on: This paper introduces a method for real-time processing and transmission of autonomous underwater vehicle (AUV) imagery over low-bandwidth communication links. It leverages artificial intelligence (AI) techniques to identify a set of images that b...

Are there open-source GitHub repositories related to Remote Awareness of Seafloor Images Collected by AUVs over Low-Bandwidth Communication Links?

Yes, open-source projects like perplexityai/bumblebee (Read-only developer endpoint scanner for on-disk package, extension, and developer-tool metadata, built to check exposure to known software supply-...) are actively building upon these concepts.

Which startups are commercializing the technology behind Remote Awareness of Seafloor Images Collected by AUVs over Low-Bandwidth Communication Links?

Products like Pegasus 1.5 by TwelveLabs are bringing this to market. Their focus is: AI model for transforming video into Time-Based Metadata.

What other academic literature is closely related to 'Remote Awareness of Seafloor Images Collected by AUVs over Low-Bandwidth Communication Links'?

Yes, highly correlated activity was mapped. An entry titled 'Processed Autonomous Underwater Vehicle (AUV) multibeam bathymetry and backscatter data collected during RRS Discovery cruise DY200 in Haig Fras and Whittard Canyon, Atlantic Ocean, 2025' discusses this: Multibeam Echosounder (MBES) bathymetry and backscatter data were acquired in the Haig Fras and Whittard Canyon Marine Conservation Zones (MCZs), A...

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