Jair Agner Júnior, Bruno Schulze, Mariza Ferro, Ernesto Rademaker Martins, Marcos Sebastião dos Santos
{"title":"MODELO PARA PREVISÃO DE POSIÇÃO DE OBJETOS EM 3D","authors":"Jair Agner Júnior, Bruno Schulze, Mariza Ferro, Ernesto Rademaker Martins, Marcos Sebastião dos Santos","doi":"10.34117/bjdv6n1-132","DOIUrl":null,"url":null,"abstract":"3D object position prediction is a complex process that requires association algorithms that can handle the use of linear and nonlinear filtering techniques. The models used in air traffic control systems, for being developed in two dimensions, are not suitable for applications with military targets due to the altitude variations of these objects. Thus, from the position information of an object in space obtained through a given sensor, in this work a method was used to deduce its velocity value, in order to compose the modeled measurement vector. With the data from this vector, the next position of","PeriodicalId":169435,"journal":{"name":"Simpósio de Pesquisa Operacional e Logística da Marinha - Publicação Online","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Simpósio de Pesquisa Operacional e Logística da Marinha - Publicação Online","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34117/bjdv6n1-132","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
3D object position prediction is a complex process that requires association algorithms that can handle the use of linear and nonlinear filtering techniques. The models used in air traffic control systems, for being developed in two dimensions, are not suitable for applications with military targets due to the altitude variations of these objects. Thus, from the position information of an object in space obtained through a given sensor, in this work a method was used to deduce its velocity value, in order to compose the modeled measurement vector. With the data from this vector, the next position of