A Cloud-Fog Automation architecture for USVs reports 86% collision classification accuracy and improved latency over conventional approaches via a three-layer Cloud-Edge-IoT design.
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Leveraging Cloud-Fog Automation for Autonomous Collision Detection and Classification in Intelligent Unmanned Surface Vehicles
A Cloud-Fog Automation architecture for USVs reports 86% collision classification accuracy and improved latency over conventional approaches via a three-layer Cloud-Edge-IoT design.