Research on Autonomous Landing Method of Shipborne Unmanned Aerial Vehicle Based on Visual Recognition | Zendy

Yang Zhang | Zendy; Xin Liu | Zendy; Changshi Xiao | Zendy; Haiwen Yuan | Zendy; Dongxu Liu | Zendy; Shuwei Ren | Zendy

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Research on Autonomous Landing Method of Shipborne Unmanned Aerial Vehicle Based on Visual Recognition

Author(s) -

Yang Zhang,

Xin Liu,

Changshi Xiao,

Haiwen Yuan,

Dongxu Liu,

Shuwei Ren

Publication year - 2025

Publication title -

ieee access

Language(s) - English

Resource type - Magazines

SCImago Journal Rank - 0.587

H-Index - 127

eISSN - 2169-3536

DOI - 10.1109/access.2025.3615562

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

To address the challenges of GPS signal failure, dynamic vessel motions, and low visual recognition confidence during shipborne UAV maritime landings, this study proposes an integrated closed-loop solution harmonizing strategy, algorithm, and hardware components, incorporating a staged landing approach, an enhanced YOLOv8 object detection algorithm with C2f-RVB module, ABF feature fusion module, and dedicated small-target detection layer, along with a KCF-based re-detection mechanism and hardware innovations featuring multi-ArUco composite markers and a self-clamping landing platform, which collectively enhance autonomous landing capabilities in complex maritime environments, where experimental results demonstrate a mAP0.5 of 93.5% for the modified YOLOv8 and 10% to 15% higher detection confidence under non-horizontal or partially occluded marker conditions, thereby establishing a technically robust framework balancing precision and operational robustness for shipborne UAV autonomous landings.

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