{"title":"基于分层策略的群无人机协同规划方法","authors":"Dong Shiyou, Zhuang Xiaoping, Long Guoqing","doi":"10.1109/ICSSEM.2012.6340870","DOIUrl":null,"url":null,"abstract":"In this paper, the problem of controlling swarm UAVs is studied by considering a hierarchical strategy based on the local interactions. First swarm as a whole plans its own initial path using Voronoi graph and Dijkstra algorithm. Second swarm UAVs combine the low-level behaviors to yield swarm behaviors. The results achieved for such a strategy are verified by computer simulations.","PeriodicalId":115037,"journal":{"name":"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Cooperative planning method for swarm UAVs based on hierarchical strategy\",\"authors\":\"Dong Shiyou, Zhuang Xiaoping, Long Guoqing\",\"doi\":\"10.1109/ICSSEM.2012.6340870\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the problem of controlling swarm UAVs is studied by considering a hierarchical strategy based on the local interactions. First swarm as a whole plans its own initial path using Voronoi graph and Dijkstra algorithm. Second swarm UAVs combine the low-level behaviors to yield swarm behaviors. The results achieved for such a strategy are verified by computer simulations.\",\"PeriodicalId\":115037,\"journal\":{\"name\":\"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSEM.2012.6340870\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSEM.2012.6340870","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cooperative planning method for swarm UAVs based on hierarchical strategy
In this paper, the problem of controlling swarm UAVs is studied by considering a hierarchical strategy based on the local interactions. First swarm as a whole plans its own initial path using Voronoi graph and Dijkstra algorithm. Second swarm UAVs combine the low-level behaviors to yield swarm behaviors. The results achieved for such a strategy are verified by computer simulations.