Remote Awareness of Seafloor Images Collected by AUVs over Low-Bandwidth Communication Links
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 deploym...
| Authors | Adrian Bodenmann, Cailei Liang, Miquel Massot-Campos et al. |
|---|---|
| Primary category | cs.IR |
| Published | 20 July 2026 |
| Last updated at source | 20 July 2026 |
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