An Aerial Transport System in Marine GNSS‐Denied Environment

• Published in: Journal of field robotics Vol. 42; no. 5; pp. 2192 - 2217
• Main Authors: Sun, Jianjun, Niu, Zhenwei, Dong, Yihao, Zhang, Fenglin, Din, Muhayy Ud, Seneviratne, Lakmal, Lin, Defu, Hussain, Irfan, He, Shaoming
• Format: Journal Article
• Language: English
• Published: Hoboken Wiley Subscription Services, Inc 01.08.2025
• Subjects: Cargo ships; Cargo transportation; Decks; GNSS‐denied; Gusts; Landing; localization; Localization method; marine transport; Marine transportation; Movement; Oscillations; Robotics; system integration; Transportation systems; Ultrawideband; unmanned aerial vehicle; Unmanned aerial vehicles; vision‐based landing
• ISSN: 1556-4959; 1556-4967
• DOI: 10.1002/rob.22520

ABSTRACT This paper presents an autonomous aerial system specifically engineered for operation in challenging marine GNSS‐denied environments, aimed at transporting small cargo from a target vessel. In these environments, characterized by weakly textured sea surfaces with few feature points, chaotic deck oscillations due to waves, and significant wind gusts, conventional navigation methods often prove inadequate. Leveraging the DJI M300 platform, our system is designed to autonomously navigate and transport cargo while overcoming these environmental challenges. In particular, this paper proposes an anchor‐based localization method using ultrawideband and quick‐response codes facilities, which decouples the unmanned aerial vehicle's (UAV's) attitude from that of the moving landing platform, thus reducing control oscillations caused by platform movement. Additionally, a motor‐driven attachment mechanism for cargo is designed, which enhances the UAV's field of view during descent and ensures a reliable attachment to the cargo upon landing. The system's reliability and effectiveness were progressively enhanced through multiple outdoor experimental iterations and were validated by the successful cargo transport during the Mohamed Bin Zayed International Robotics Challenge 2024 competition. Crucially, the system addresses uncertainties and interferences inherent in maritime transportation missions without prior knowledge of cargo locations on the deck and with strict limitations on intervention throughout the transportation.