Abstract: |
This paper conducts a macroscopical study of UAV swarm in the mission planning field by using a quantitative and visualized approach. Using information visualization software CiteSpace and Tableau, 124 domestic and 1 321 international literature related to the UAV swarm mission planning field from 2000 to 2022 are obtained respectively from Web of Science and CNKI academic databases to draw a map of scientific knowledge in this field. The bibliometric approach is used to analyze the attention, current research status, hot spots and development trends of the UAV swarm mission planning field at home and abroad. The study shows that, in the context of the Internet of Things and emerging applications such as UAV swarm with blockchain technology, the improvement of new algorithms such as differential game and mobile edge computing and how to combine with the new demands are hot topics in this field. Furthermore, unmanned intelligent combat platforms, optimization of multiple population intelligence algorithms and commercial logistics and transportation are potential future research trends. |