{"title":"地理分布式系统的高性能多目标多传感器跟踪","authors":"Carine Schleiffer, R. Reynaud, G. Sella","doi":"10.1109/ISIC.1995.525103","DOIUrl":null,"url":null,"abstract":"This paper deals with two parts of the methodology of multisensor data fusion: conceptual and applied parts. In the conceptual part, we present a high-performance algorithm for tracking maneuvring targets using different sensors distributed on two geographical points. Each site is connected to the fusion center and transmits its observations. The results of computational examples using synthetic data and close models sensors are presented and discussed in the applied part.","PeriodicalId":219623,"journal":{"name":"Proceedings of Tenth International Symposium on Intelligent Control","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High-performance multi-target multi-sensor tracking for a geographically distributed system\",\"authors\":\"Carine Schleiffer, R. Reynaud, G. Sella\",\"doi\":\"10.1109/ISIC.1995.525103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with two parts of the methodology of multisensor data fusion: conceptual and applied parts. In the conceptual part, we present a high-performance algorithm for tracking maneuvring targets using different sensors distributed on two geographical points. Each site is connected to the fusion center and transmits its observations. The results of computational examples using synthetic data and close models sensors are presented and discussed in the applied part.\",\"PeriodicalId\":219623,\"journal\":{\"name\":\"Proceedings of Tenth International Symposium on Intelligent Control\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Tenth International Symposium on Intelligent Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIC.1995.525103\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Tenth International Symposium on Intelligent Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.1995.525103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High-performance multi-target multi-sensor tracking for a geographically distributed system
This paper deals with two parts of the methodology of multisensor data fusion: conceptual and applied parts. In the conceptual part, we present a high-performance algorithm for tracking maneuvring targets using different sensors distributed on two geographical points. Each site is connected to the fusion center and transmits its observations. The results of computational examples using synthetic data and close models sensors are presented and discussed in the applied part.