TY - JOUR
T1 - Drone carrier
T2 - An integrated unmanned surface vehicle for autonomous inspection and intervention in GNSS-denied maritime environment
AU - Dong, Yihao
AU - Din, Muhayy Ud
AU - Lagala, Francesco
AU - Kuang, Hailiang
AU - Sun, Jianjun
AU - Yang, Siyuan
AU - Hussain, Irfan
AU - He, Shaoming
N1 - Publisher Copyright:
© 2026 The Authors. Published by Elsevier B.V. on behalf of Shanghai Jiao Tong University This is an open access article under the CC BY license. http://creativecommons.org/licenses/by/4.0/
PY - 2026
Y1 - 2026
N2 - 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.
AB - 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.
KW - Autonomous navigation
KW - GNSS-denied environments
KW - Inspection and intervention
KW - Maritime heterogeneous system
UR - https://www.scopus.com/pages/publications/105034029096
U2 - 10.1016/j.joes.2026.02.002
DO - 10.1016/j.joes.2026.02.002
M3 - Article
AN - SCOPUS:105034029096
SN - 2468-0133
JO - Journal of Ocean Engineering and Science
JF - Journal of Ocean Engineering and Science
ER -