AINeutralarXiv – CS AI · Jun 236/10
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DVL-DeepONet: A Physics-Guided Operator Learning for Resilient Underwater Navigation
Researchers have developed DVL-DeepONet, a physics-guided deep learning framework that improves underwater vehicle navigation by accurately estimating velocity from noisy or incomplete sensor data. The system outperforms traditional approaches by 40% in real-world testing, enabling autonomous underwater vehicles to operate reliably even with degraded sensor inputs or without expensive inertial measurement units.