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.
Development and simulation of an autonomous docking system for unmanned surface vehicles (usv),
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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.