Analysis on Current Development Situation of Unmanned Ground Vehicle Clusters Collaborative Pursuit
In recent years, there has been a growing interest in unmanned ground vehicle clustering as a research topic in the unmanned driving field for its low cost, good secuity, and high autonomy. Various collaborative strategies have been proposed for unmanned vehicle clusters, with collaborative pursuit being a particularly important application direction that has garnered significant attention in various fields. A systematic analysis of the strategy mechanism for collaborative pursuit in unmanned vehicle clusters is provided, considering relevant applications and architectures. The collaborative pursuit strategy is divided into three sub-modes: search, tracking, and roundup. The key methods for unmanned vehicle cluster collaborative pursuit are compared from the perspectives of game theory, probabilistic analysis, and machine learning, the advantages and disadvantages of these algorithms are highlighted. Finally, comments and suggestions are provided for future research, considering offer references and ideas for further improving the efficiency and performance of collaborative pursuit in unmanned vehicle clusters.
万方数据
维普
