无人水面艇的布放回收长期以来都是依靠人工进行,是制约无人艇在实际工程广泛应用的重要因素之一。导航与定位技术是无人艇实现自主回收的关键,然而目前无人艇回收过程基本还采用人工遥控手段,保障要求高、智能化水平低。本文阐述了无人艇自主回收过程中导航定位技术的应用现状,介绍了无人艇回收各个阶段的导航过程,对其中涉及的关键技术进行分析,包括无人艇多源导航信息融合技术和近距离视觉相对定位技术,最后对无人艇自主回收中的导航定位技术进行总结与展望。
The launch and recovery of unmanned surface vehicle(USV) have long relied on manual work, which is one of the important factors limiting the wide application of USV in practical engineering. Navigation and positioning technology is the key to achieve autonomous recovery of USV, however, at present, the recovery process of USV basically still adopts manual remote control means, with high security requirements and low level of intelligence. This paper describes the current situation of the application of navigation and positioning technology in the process of USV autonomous recovery, introduces the navigation process in each stage of USV recovery, analyzes the key technologies involved, including USV multi-source navigation information fusion technology and proximity visual relative positioning technology, and finally summarizes and outlooks on the navigation and positioning technology in USV autonomous recovery.
2023,45(8): 72-77 收稿日期:2022-10-11
DOI:10.3404/j.issn.1672-7649.2023.08.015
分类号:U675.73
作者简介:许晨(1998-),男,硕士研究生,研究方向为无人艇导航与控制
参考文献:
[1] 张晓东, 刘世亮, 刘宇, 等. 无人水面艇收放技术发展趋势探讨[J]. 中国舰船研究, 2018, 13(6): 50–57
[2] 王巍, 邢朝洋, 冯文帅. 自主导航技术发展现状与趋势[J]. 航空学报, 2021, 42(11): 525049
[3] 胡常青, 朱玮, 何远清, 等. 无人水面艇自主导航技术[J]. 导航与控制, 2019, 18(1): 19–26
[4] VOLDEN Ø, STAHL A, FOSSEN T I. Vision based positioning system for auto docking of unmanned surface vehicles (USVs)[J]. International Journal of Intelligent Robotics and Applications, 2021.
[5] PARK J H, KANG M J, KIM T Y, et al. Development of an Unmanned Surface Vehicle System for the 2014 Maritime RobotX Challenge[J]. Journal of Field Robotics, 2017, 34(4): 644–665
[6] 李传坤, 刘宇, 张海燕, 等. 一种用于无人艇回收的视觉引导装置及方法[P]. 中国专利: CN110162042A, 2019-08-23.
[7] 李忠国, 许晨, 唐炜, 等. 一种无人艇起吊回收视觉引导方法[P]. 中国专利: CN107830860B, 2019-09-27.
[8] 王泉斌, 高瀚林, 李伟光, 等. 无人艇艉滑道自动引导回收的目标跟踪识别装置[P]. 中国专利: CN113341965A, 2021-09-03.
[9] 余文勇, 乔瑜, 王泉斌, 等. 一种基于图像的无人艇回收方法及系统[P]. 中国专利: CN111366959B, 2021-11-30.
[10] YU W Y, WANG J, TANG G Y, et al. Dual-attention-based optical terminal guidance for the recovery of unmanned surface vehicles[J]. Ocean Engineering, 2021, 239: 109852
[11] 徐海彬, 刘畅, 田建东, 等. 基于视觉和定位系统的无人艇自主对接系统[J]. 计算机工程与设计, 2021, 42(9): 2606–2613
[12] 汤世松. 水面无人艇组合导航系统的研究与设计[D]. 南京: 东南大学, 2015.
[13] JUN D, XIANG Y H, SONG L, et al. Research on UAV robust adaptive positioning algorithm based on IMU/GNSS/VO in complex scenes[J]. Sensors, 2022, 22: 2832
[14] 狄春雷, 于利, 潘思, 等. 基于局部相对定位的空地子母机器人自主收放引导系统与技术研究[J]. 无人系统技术, 2020, 3(6): 68–78
[15] LIN Shanggang. Vision based shipboard recovery of unmanned rotorcraft [D]. South China University of Technology, 2016.
[16] 孔维玮. 基于多传感器的无人机自主着舰引导与控制系统研究[D]. 长沙: 国防科技大学, 2017.