{"title":"基于实验设计的动态目标跟踪最坏情况分析","authors":"C. Chithapuram, C. A. Kumar, Y. Jeppu","doi":"10.1109/ICPRIME.2013.6496481","DOIUrl":null,"url":null,"abstract":"Design of Experiments (DOE) is a mathematical methodology employed for information gathering and inference. This research uses the Design of Experiments methodology to analyze the worst case scenario for guiding the UAV (Unmanned Aerial Vehicle) to a maneuverable target by an UAV. Using a minimal set of simulations the DOE provides the worst case target tracking scenario against the results obtained with several simulations.","PeriodicalId":123210,"journal":{"name":"2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Worst case scenario analysis for dynamic target tracking using design of experiments\",\"authors\":\"C. Chithapuram, C. A. Kumar, Y. Jeppu\",\"doi\":\"10.1109/ICPRIME.2013.6496481\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Design of Experiments (DOE) is a mathematical methodology employed for information gathering and inference. This research uses the Design of Experiments methodology to analyze the worst case scenario for guiding the UAV (Unmanned Aerial Vehicle) to a maneuverable target by an UAV. Using a minimal set of simulations the DOE provides the worst case target tracking scenario against the results obtained with several simulations.\",\"PeriodicalId\":123210,\"journal\":{\"name\":\"2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPRIME.2013.6496481\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPRIME.2013.6496481","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Worst case scenario analysis for dynamic target tracking using design of experiments
Design of Experiments (DOE) is a mathematical methodology employed for information gathering and inference. This research uses the Design of Experiments methodology to analyze the worst case scenario for guiding the UAV (Unmanned Aerial Vehicle) to a maneuverable target by an UAV. Using a minimal set of simulations the DOE provides the worst case target tracking scenario against the results obtained with several simulations.
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