Yihao Dong, Muhayy Ud Din, Francesco Lagala, Hailiang Kuang, Jianjun Sun, Siyuan Yang, Irfan Hussain, Shaoming He
{"title":"Drone carrier: An integrated unmanned surface vehicle for autonomous inspection and intervention in GNSS-denied maritime environment","authors":"Yihao Dong, Muhayy Ud Din, Francesco Lagala, Hailiang Kuang, Jianjun Sun, Siyuan Yang, Irfan Hussain, Shaoming He","doi":"10.1016/j.joes.2026.02.002","DOIUrl":null,"url":null,"abstract":"<div><div>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 <span><math><mo>≈</mo></math></span> <!--> <!-->200<!--> <!-->m (3<!--> <!-->km standoff), onboard vision lock to <span><math><mo>≈</mo></math></span> <!--> <!-->500<!--> <!-->m, LiDAR modeling within 200<!--> <!-->m, non-cooperative docking with <span><math><mo>≤</mo></math></span>1<!--> <!-->m error, and QR-assisted deck landings with <span><math><mo>≈</mo></math></span> <!--> <!-->20 cm accuracy. These results demonstrate robust closed-loop operation under GNSS denial and delineate the present envelope (rigid deck edge; sea state <span><math><mo>≤</mo></math></span>3), informing deployment for port security and offshore rescue and guiding future extensions to higher sea states and broader target geometries.</div></div>","PeriodicalId":48514,"journal":{"name":"Journal of Ocean Engineering and Science","volume":"11 4","pages":"Pages 1271-1286"},"PeriodicalIF":5.8000,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Ocean Engineering and Science","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468013326000203","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/10 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, MARINE","Score":null,"Total":0}
引用次数: 0
Abstract
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 200 m (3 km standoff), onboard vision lock to 500 m, LiDAR modeling within 200 m, non-cooperative docking with 1 m 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 3), informing deployment for port security and offshore rescue and guiding future extensions to higher sea states and broader target geometries.
期刊介绍:
The Journal of Ocean Engineering and Science (JOES) serves as a platform for disseminating original research and advancements in the realm of ocean engineering and science.
JOES encourages the submission of papers covering various aspects of ocean engineering and science.