Multi-USV Collaborative Obstacle Avoidance Based on Improved Velocity Obstacle Method

被引:11
作者
Du, Zhe [1 ]
Li, Weifeng [1 ]
Shi, Guoyou [1 ]
机构
[1] Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
关键词
Unmanned vessel; Velocity obstacle method; Improved algorithm; Dynamic obstacle avoidance;
D O I
10.1061/AJRUA6.RUENG-1174
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Cooperative obstacle avoidance of multiple unmanned surface vessels (multi-USV) is an important issue in unmanned vessel safety. This study aims to solve dynamic safety collision avoidance problems, especially decision oscillations, which exist in the traditional velocity obstacle method for multi-USV cooperative obstacle avoidance. To cope with these problems, we analyze the principle of the reciprocal velocity obstacle method based on multiple constraints, such as the dynamics constraint and International Regulations for Preventing Collisions at Sea (COLREGS) constraint of unmanned vessels, and propose an improved velocity obstacle method under multiple constraints. The method introduces the uncertainty factor of the velocity obstacle to obtain the optimal velocity of the USV when performing obstacle avoidance actions on the water surface and then achieves the replanning of the trajectory. Through simulation experimental verification, we demonstrate that this method can effectively resolve different encounter conflict situations, achieve coordinated motion control among multiple USVs, and improve the safety of USV obstacle avoidance. In addition, the method meets the dynamic obstacle avoidance requirements of surface unmanned vessels under multiple constraints in actual navigation. This research is of great significance in improving unmanned vessels' autonomous obstacle avoidance capability and provides strong support for the practical application of unmanned vessels. Future research can further explore the applicability of the method.
引用
收藏
页数:11
相关论文
共 28 条
[1]  
[Anonymous], 2008, P 2008 IEEE INT C RO
[2]  
FIORINI P, 1993, PROCEEDINGS : IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-3, P560, DOI 10.1109/ROBOT.1993.292038
[3]   ANALYSIS OF TRAFFIC ACCIDENTS [J].
FUJII, Y ;
SHIOBARA, R .
JOURNAL OF THE INSTITUTE OF NAVIGATION, 1971, 24 (04) :534-&
[4]  
[高宗江 Gao Zongjiang], 2017, [大连海事大学学报, Journal of Dalian Maritime University], V43, P1
[5]  
Garcia A., 2019, P 2019 IEEE RSJ INT
[6]   Generalized velocity obstacle algorithm for preventing ship collisions at sea [J].
Huang, Yamin ;
Chen, Linying ;
van Gelder, P. H. A. J. M. .
OCEAN ENGINEERING, 2019, 173 (142-156) :142-156
[7]  
Huang Yonglong, 2012, Computer Engineering and Applications, V48, P47, DOI 10.3778/j.issn.1002-8331.1206-0005
[8]   Ellipse-based velocity obstacles for local navigation of holonomic mobile robot [J].
Jeon, J. D. ;
Lee, B. H. .
ELECTRONICS LETTERS, 2014, 50 (18) :1279-1280
[9]   Study on optimal velocity selection using velocity obstacle (OVVO) in dynamic and crowded environment [J].
Kim, Mingeuk ;
Oh, Jun-Ho .
AUTONOMOUS ROBOTS, 2016, 40 (08) :1459-1470
[10]   Development of an optimal velocity selection method with velocity obstacle [J].
Kim, Mingeuk ;
Oh, JunHo .
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2015, 29 (08) :3475-3487