{"title":"无人机群路规划","authors":"Scott James, R. Raheb, Allison Hudak","doi":"10.1109/ICNS50378.2020.9223005","DOIUrl":null,"url":null,"abstract":"We present an algorithm for the modeling and management of groups of autonomous Unmanned Aerial Vehicles (UAV). The algorithm extends a previous work in which aircraft were considered individually. In this paper, we decompose the algorithm into two computational levels: one for the centralized control of groups of UAVs, or \"swarms\", and one modeling the distributed behavior of individual UAVs within these swarms. We examine a number of scenarios and compare the impact of communication latency on the intra-swarm and inter-swarm separations.","PeriodicalId":424869,"journal":{"name":"2020 Integrated Communications Navigation and Surveillance Conference (ICNS)","volume":" 38","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"UAV Swarm Path Planning\",\"authors\":\"Scott James, R. Raheb, Allison Hudak\",\"doi\":\"10.1109/ICNS50378.2020.9223005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an algorithm for the modeling and management of groups of autonomous Unmanned Aerial Vehicles (UAV). The algorithm extends a previous work in which aircraft were considered individually. In this paper, we decompose the algorithm into two computational levels: one for the centralized control of groups of UAVs, or \\\"swarms\\\", and one modeling the distributed behavior of individual UAVs within these swarms. We examine a number of scenarios and compare the impact of communication latency on the intra-swarm and inter-swarm separations.\",\"PeriodicalId\":424869,\"journal\":{\"name\":\"2020 Integrated Communications Navigation and Surveillance Conference (ICNS)\",\"volume\":\" 38\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Integrated Communications Navigation and Surveillance Conference (ICNS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNS50378.2020.9223005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Integrated Communications Navigation and Surveillance Conference (ICNS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNS50378.2020.9223005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present an algorithm for the modeling and management of groups of autonomous Unmanned Aerial Vehicles (UAV). The algorithm extends a previous work in which aircraft were considered individually. In this paper, we decompose the algorithm into two computational levels: one for the centralized control of groups of UAVs, or "swarms", and one modeling the distributed behavior of individual UAVs within these swarms. We examine a number of scenarios and compare the impact of communication latency on the intra-swarm and inter-swarm separations.
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