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面向无人艇对接回收的STag标记视觉导引技术

肖咏昕 向先波 孔典 杨立春 杨少龙

中国舰船研究2025,Vol.20Issue(2):357-365,9.
中国舰船研究2025,Vol.20Issue(2):357-365,9.DOI:10.19693/j.issn.1673-3185.03549

面向无人艇对接回收的STag标记视觉导引技术

STag marking visual guidance method for USV docking

肖咏昕 1向先波 1孔典 1杨立春 1杨少龙1

作者信息

  • 1. 华中科技大学 船舶与海洋工程学院,湖北 武汉 430074
  • 折叠

摘要

Abstract

[Objective]Aiming at the problem of accurate real-time pose acquisition in the autonomous re-covery of an unmanned surface vehicle(USV),a STag marking visual guidance method for unmanned vehicle docking and recovery is proposed.[Methods]Due to the stable attitude characteristics of STag markers,they are selected as the fiducial markers in the visual guidance of this work.By detecting STag markers in the video stream obtained by the camera on the USV,combined with the camera's internal parameters and the size of the markers,EPn P and direct linear transformation(DLT)algorithms are fused to calculate the relative pose of the recovery device and USV.Amplitude limiting filtering and first-order low-pass filtering are then per-formed to obtain the required lateral offset and heading deviation for line-of-sight(LOS)docking guidance.[Results]In the static performance test,the average angular error of target detection is 6.85° and the aver-age distance error is 0.056 m.In the guided autonomous recovery lake test,the accuracy of static and dynamic docking is within plus or minus 0.5 m.[Conclusion]Compared to traditional USV docking and recovery methods,STag marking visual guidance can enhance the terminal accuracy of USV autonomous docking and improve the overall success rate of docking and recovery.

关键词

无人艇/对接/回收/目标检测/导航系统/视觉导引/STag标记

Key words

unmanned vehicles/docking/recovery/target detection/navigation system/visual guidance/STag marker

分类

交通工程

引用本文复制引用

肖咏昕,向先波,孔典,杨立春,杨少龙..面向无人艇对接回收的STag标记视觉导引技术[J].中国舰船研究,2025,20(2):357-365,9.

基金项目

国家自然科学基金资助项目(52071153,51579111) (52071153,51579111)

中国舰船研究

OA北大核心

1673-3185

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