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Drone carrier: An integrated unmanned surface vehicle for autonomous inspection and intervention in GNSS-denied maritime environment

  • Yihao Dong
  • , Muhayy Ud Din
  • , Francesco Lagala
  • , Hailiang Kuang
  • , Jianjun Sun
  • , Siyuan Yang
  • , Irfan Hussain
  • , Shaoming He*
  • *此作品的通讯作者
  • Khalifa University of Science and Technology
  • National Research Council of Italy
  • Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

GNSS denial and interference increasingly challenge maritime robotics. While heterogeneous Unmanned Aerial Vehicles (UAVs) and Unmanned Surface Vehicles (USVs) teams are promising for inspection and intervention, open-sea non-cooperative docking and reliable deck landing on a moving platform remain difficult. This work addresses that gap with a fully electric, modular USV-based drone carrier that autonomously approaches, docks to, and services target vessels without Global Navigation Satellite System (GNSS). The system integrates on-shore camera handover, onboard gimbaled vision and Light Detection and Ranging (LiDAR), Ultra-Wide Band (UWB)+Extended Kalman Filter (EKF) localization, Quick Response (QR)-based terminal landing, and a thrust-vectoring docking controller within a unified Robot Operating System (ROS) architecture. In sea-state-3 trials, the carrier achieved offshore handover at ≈ 200m (3km standoff), onboard vision lock to ≈ 500m, LiDAR modeling within 200m, non-cooperative docking with ≤[jls-end-space/]1m error, and QR-assisted deck landings with ≈ 20 cm accuracy. These results demonstrate robust closed-loop operation under GNSS denial and delineate the present envelope (rigid deck edge; sea state ≤[jls-end-space/]3), informing deployment for port security and offshore rescue and guiding future extensions to higher sea states and broader target geometries.

源语言英语
期刊Journal of Ocean Engineering and Science
DOI
出版状态已接受/待刊 - 2026
已对外发布是

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