Overview of development of unmanned-surface-vehicle sensing technology

被引:0
|
作者
Zhu J. [1 ]
Yu M. [1 ]
Yang Y. [1 ]
机构
[1] School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an
关键词
Localization; Motion planning; Navigation; Remote sensing; Target detection; Target tracking; Unmanned surface vehicles (USV);
D O I
10.11990/jheu.202007111
中图分类号
学科分类号
摘要
The unmanned surface vehicle has attracted increasing interest from researchers in China and around the world due to its flexible maneuverability and role in replacing manual operations in hazardous conditions. In unmanned water driving technology systems, the sensing technology is the core component. Currently, research on this sensing technology remains in its infancy. This article reviews the research and development of unmanned vehicles and focuses its analysis and discussion on three key sensing technologies: first, target detection using unmanned surface vehicles, primarily including obstacle-detection-oriented and operation-oriented target detections; second, the target tracking; third, the real-time localization. Considering the challenges of system stability and target detection capability faced by unmanned-surface-vehicle sensing technology, the limitations and future development trends of unmanned-surface-vehicle sensing technology are considered. Copyright ©2020 Journal of Harbin Engineering University.
引用
收藏
页码:1486 / 1492
页数:6
相关论文
共 38 条
  • [1] LU Chenguang, CHU Xiumin, WU qing, Et al., A review and prospect of USV research, Shipbuilding of China, 55, 4, pp. 194-205, (2014)
  • [2] CURCIO J, LEONARD J, PATRIKALAKIS A., SCOUT-a low cost autonomous surface platform for research in cooperative autonomy, Proceedings of OCEANS 2005 MTS/IEEE, pp. 725-729, (2005)
  • [3] CAMPBELL S, NAEEM W, IRWIN G W., A review on improving the autonomy of unmanned surface vehicles through intelligent collision avoidance manoeuvres, Annual reviews in control, 36, 2, pp. 267-283, (2012)
  • [4] MAJOHR J, BUCH T, KORTE C., Navigation and automatic control of the measuring dolphin (MESSIN<sup>TM</sup>), IFAC proceedings volumes, 33, 21, pp. 399-404, (2000)
  • [5] WANG Wei, GHENETI B, MATEOS A L, Et al., Roboat: an autonomous surface vehicle for urban waterways, Proceedings of 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 6340-6347, (2019)
  • [6] PENG Yan, YANG Yi, CUI Jianxiang, Et al., Development of the USV 'JingHai-I' and sea trials in the southern Yellow Sea, Ocean engineering, 131, pp. 186-196, (2017)
  • [7] BENJAMIN M R, CURCIO J A, LEONARD J J, Et al., Navigation of unmanned marine vehicles in accordance with the rules of the road, Proceedings of 2006 IEEE International Conference on Robotics and Automation, pp. 3581-3587, (2006)
  • [8] BURMEISTER H C, BRUHN W, RODSETH O J, Et al., Autonomous unmanned merchant vessel and its contribution towards the e-navigation implementation: The MUNIN Perspective, International journal of e-navigation and maritime economy, 1, pp. 1-13, (2014)
  • [9] JOKIOINEN E., Remote and autonomous ships the next steps, (2016)
  • [10] LI Wenhua, ZHANG Junyan, LIN Shanyin, Et al., The Development path of maritime autonomous surface ships technology, Ship engineering, 41, 7, pp. 64-73, (2019)