{"title":"点源无组织气体排放连续源速率估计的多无人机方法","authors":"Derek Hollenbeck, Y. Chen","doi":"10.1109/ICUAS51884.2021.9476728","DOIUrl":null,"url":null,"abstract":"A multi unmanned aerial vehicle (UAV) based method for making continuous source rate estimations is proposed. The multi-UAV method utilizes the signal processing, spatial interpolation, and data-driven techniques to apply centroidal Voronoi tessellations (CVT) based coverage control. The method uses low frequency modes from dynamic mode decomposition (DMD) as the CVT density kernel. The method also employs an ordinary kriging estimation variance based entropy as a regularization term to improve exploration behavior. A 3D short time-scale plume simulation model (POSIM) is used to test the continuous source rate estimation performance.","PeriodicalId":423195,"journal":{"name":"2021 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Multi-UAV Method for Continuous Source Rate Estimation of Fugitive Gas Emissions from a Point Source\",\"authors\":\"Derek Hollenbeck, Y. Chen\",\"doi\":\"10.1109/ICUAS51884.2021.9476728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A multi unmanned aerial vehicle (UAV) based method for making continuous source rate estimations is proposed. The multi-UAV method utilizes the signal processing, spatial interpolation, and data-driven techniques to apply centroidal Voronoi tessellations (CVT) based coverage control. The method uses low frequency modes from dynamic mode decomposition (DMD) as the CVT density kernel. The method also employs an ordinary kriging estimation variance based entropy as a regularization term to improve exploration behavior. A 3D short time-scale plume simulation model (POSIM) is used to test the continuous source rate estimation performance.\",\"PeriodicalId\":423195,\"journal\":{\"name\":\"2021 International Conference on Unmanned Aircraft Systems (ICUAS)\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Unmanned Aircraft Systems (ICUAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICUAS51884.2021.9476728\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Unmanned Aircraft Systems (ICUAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUAS51884.2021.9476728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-UAV Method for Continuous Source Rate Estimation of Fugitive Gas Emissions from a Point Source
A multi unmanned aerial vehicle (UAV) based method for making continuous source rate estimations is proposed. The multi-UAV method utilizes the signal processing, spatial interpolation, and data-driven techniques to apply centroidal Voronoi tessellations (CVT) based coverage control. The method uses low frequency modes from dynamic mode decomposition (DMD) as the CVT density kernel. The method also employs an ordinary kriging estimation variance based entropy as a regularization term to improve exploration behavior. A 3D short time-scale plume simulation model (POSIM) is used to test the continuous source rate estimation performance.
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