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Supervision in closed-loop self-calibration can reduce yaw error by over 85% and guarantee 100% success in target tracking, outperforming traditional fixed schedules.
Achieving millimeter-level accuracy in hidden-target localization without direct target observation could revolutionize autonomous navigation systems.
