Autonomous Unmanned Systems Test Platform for Complex Water Environments

This paper describes an autonomous intelligent unmanned system test platform designed. The platform integrates multiple sensors to support experiments related to unmanned aerial vehicle (UAV) identification, tracking, and landing on water-based surfaces. Our current configuration includes an Inertial Measurement Unit (IMU), an ultra-wideband radar, and a dual-camera carousel system with infrared and visible cameras. We have also developed a comprehensive frontend interface for this multi-sensor fusion system. The platform’s integrated hardware and software components bridge the gap between simulation and real-world testing. To validate the platform’s performance, we conducted several autonomous landing experiments on a water-based deck to demonstrate the feasibility of autonomous landing of fixed-wing UAVs.

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Publication Details

Journal
Guidance Navigation and Control
Published
2025-08-22
DOI
https://doi.org/10.1142/s2737480725500359
Citations
3
Primary Topic
Oil Spill Detection and Mitigation
Type
article
Field-Weighted Citation Impact
1.51
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article

Autonomous Unmanned Systems Test Platform for Complex Water Environments

Xiancai Meng, Zhenyu Lu, Bingtao Zhu, Bingjun Zhang et al.
3 citations
Guidance Navigation and Control
Oil Spill Detection and Mitigation
1.51
article

Autonomous Unmanned Systems Test Platform for Complex Water Environments

Xiancai Meng, Zhenyu Lu, Bingtao Zhu, Bingjun Zhang, Jianfeng Yu, Quanbo Ge, Lu Ren
article en
3 citations

Abstract

This paper describes an autonomous intelligent unmanned system test platform designed. The platform integrates multiple sensors to support experiments related to unmanned aerial vehicle (UAV) identification, tracking, and landing on water-based surfaces. Our current configuration includes an Inertial Measurement Unit (IMU), an ultra-wideband radar, and a dual-camera carousel system with infrared and visible cameras. We have also developed a comprehensive frontend interface for this multi-sensor fusion system. The platform’s integrated hardware and software components bridge the gap between simulation and real-world testing. To validate the platform’s performance, we conducted several autonomous landing experiments on a water-based deck to demonstrate the feasibility of autonomous landing of fixed-wing UAVs.

Guidance Navigation and ControlVol. 05(03)
Tongji University (CN), Anhui University (CN), Nanjing University of Information Science and Technology (CN), Nanjing University of Science and Technology (CN), Rural Development Agency (LA), Shanghai Maritime University (CN)
Clean water and sanitation
Openalex Percentile: Top 17%
Oil Spill Detection and Mitigation
1.51
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Autonomous Unmanned Systems Test Platform for Complex Water Environments — Xiancai Meng, Zhenyu Lu, et al. · Guidance Navigation and Control (2025) | TGRS Research Map | TGRS