A Review on Cooperative Motion Planning of Unmanned Vehicles

被引:0
|
作者
Kong G. [1 ,2 ]
Feng S. [1 ]
Yu H. [1 ]
Ju Z. [1 ]
Gong J. [1 ]
机构
[1] School of Mechanical Engineering, Beijing Institute of Technology, Beijing
[2] Unit 32398 of PLA, Beijing
来源
Binggong Xuebao/Acta Armamentarii | 2023年 / 44卷 / 01期
关键词
cooperation of multi-agent systems; cooperation of multiple vehicles; motion planning; unmanned vehicles;
D O I
10.12382/bgxb.2022.0930
中图分类号
学科分类号
摘要
An unmanned ground swarm system consists of multiple unmanned ground mobile platforms, which can achieve common objectives through cooperation and has promising applications in military and transportation systems. Cooperative motion planning is one of the key technologies in the cooperation of unmanned swarm systems or vehicles. It has received increasing attention in both theoretical and application research. This review summarizes and analyzes recent advances in cooperative motion planning of unmanned swarm systems, and provides the background of relevant research. Then the techniques utilized in cooperative motion planning and its applications are briefly discussed considering its development in China and beyond. These techniques are categorized according to different frameworks and algorithms. With such a classification, representative works are discussed regarding their features. Moreover, the challenges and future development of cooperative motion planning are proposed. © 2023 China Ordnance Society. All rights reserved.
引用
收藏
页码:11 / 26
页数:15
相关论文
共 152 条
  • [41] YANG B, ZHANG H H, JIANG Z S., Simulation of vehicle obstacle avoidance path tracking control based on model predictive control, Intelligent Computer and Applications, 10, 12, pp. 99-103, (2020)
  • [42] JI J, TANG Z R, WU M Y, Et al., Path planning and tracking for lane changing based on model predictive cotnrol, China Journal of Highway and Transport, 31, 4, pp. 172-179, (2018)
  • [43] ZHAN J Y., Cooperative predictive control of multi-agent systems, (2013)
  • [44] LI L, XU Z G, ZHAO X M, Et al., Review of motion planning methods of intelligent connected vehicles, China Journal of Highway and Transport, 32, 6, pp. 20-33, (2019)
  • [45] CAI G S, LIU H J, FENG J W, Et al., Review on the research of motion planning and control for intelligent vehicles, Journal of Automotive Safety and Energy, 12, 3, pp. 279-297, (2021)
  • [46] LIU Y., Research on hierarchical control algorithm of motion cooperation for vehicle platonn based on game theory, (2020)
  • [47] LI Q H, WANG J H, LI H M, Et al., A two-stage multi-agent path planning algorithm, Science Technology and Engineering, 21, 22, pp. 9425-9431, (2021)
  • [48] LEI X Y, YANG S Y, ZHANG Y M, Et al., Path planning research for multi-agent robot based on co-evolution, Computer Systems & Applications, 19, 11, pp. 157-161, (2010)
  • [49] WANG C, ZHAO X Z, KANG X Y., A Multi-agent planning method oriented formation cooperative anti-air decision, Ship Electronic Engineering, 29, 1, pp. 62-64, (2009)
  • [50] ZHANG S Y., Research on Multi-UAVs Cooperative Trajectory Planning and Control Method, (2016)