{"title":"Enhancing Dependability of the Battlefield Single Integrated Picture through Metrics for Modeling and Simulation of Time-Critical Scenarios","authors":"M. Ceruti, J. L. Kaina","doi":"10.1109/WORDS.2003.1267492","DOIUrl":null,"url":null,"abstract":"This paper presents a report of an ongoing research project to test and evaluate temporal and other dependability properties of the battlefield single integrated picture (SIP). It explores modeling and simulations of information flows in the battlespace with a view toward enhancing the SIP. The main emphasis will be on level-one data fusion, i.e. detection, identification and tracking of platforms and classifying them as friendly, neutral or hostile. Thus, the study will focus on metrics that pertain directly to the flow of relevant information in the battlespace during the time period of a particular target-classification task, and the dependability of that information.","PeriodicalId":350761,"journal":{"name":"2003 The Ninth IEEE International Workshop on Object-Oriented Real-Time Dependable Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2003 The Ninth IEEE International Workshop on Object-Oriented Real-Time Dependable Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WORDS.2003.1267492","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
This paper presents a report of an ongoing research project to test and evaluate temporal and other dependability properties of the battlefield single integrated picture (SIP). It explores modeling and simulations of information flows in the battlespace with a view toward enhancing the SIP. The main emphasis will be on level-one data fusion, i.e. detection, identification and tracking of platforms and classifying them as friendly, neutral or hostile. Thus, the study will focus on metrics that pertain directly to the flow of relevant information in the battlespace during the time period of a particular target-classification task, and the dependability of that information.