A supervised learning pipeline with auto-labeling trains a Neural Dock Pose Estimator (NDPE) to predict relative dock pose from images for USV autonomous docking without manual labels, calibration, or markers.
Finite-time plos-based integral sliding-mode adaptive neural path following for unmanned surface vessels with un- known dynamics and disturbances
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Supervised Visual Docking Network for Unmanned Surface Vehicles Using Auto-labeling in Real-world Water Environments
A supervised learning pipeline with auto-labeling trains a Neural Dock Pose Estimator (NDPE) to predict relative dock pose from images for USV autonomous docking without manual labels, calibration, or markers.