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.
Bounded neural net- work control for target tracking of underactuated autonomous surface vehicles in the presence of uncertain target dynamics,
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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.