{"title":"I-SENSE:智能嵌入式多传感器融合","authors":"A. Klausner, B. Rinner, A. Tengg","doi":"10.1109/WISES.2006.329120","DOIUrl":null,"url":null,"abstract":"I-SENSE demonstrates the potential of combining the scientific research areas multi-sensor data fusion and pervasive embedded computing. The main idea is to provide a generic architecture which supports a distributed online data fusion on an embedded system. Due to their high onboard processing and communication power our proposed architecture is designed to perform sophisticated data fusion tasks in realtime. Another goal of I-SENSE is to dynamically change the configuration, thus, to be able to react to changes in the systems environment. This paper describes ongoing work in developing necessary hard- and software components in order to perform realtime multi-level data fusion. We present the distributed I-SENSE platform and introduce our multi-level fusion framework. First experimental results on embedded image fusion demonstrates the feasibility of our approach","PeriodicalId":344061,"journal":{"name":"2006 International Workshop on Intelligent Solutions in Embedded Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"I-SENSE: Intelligent Embedded Multi-Sensor Fusion\",\"authors\":\"A. Klausner, B. Rinner, A. Tengg\",\"doi\":\"10.1109/WISES.2006.329120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"I-SENSE demonstrates the potential of combining the scientific research areas multi-sensor data fusion and pervasive embedded computing. The main idea is to provide a generic architecture which supports a distributed online data fusion on an embedded system. Due to their high onboard processing and communication power our proposed architecture is designed to perform sophisticated data fusion tasks in realtime. Another goal of I-SENSE is to dynamically change the configuration, thus, to be able to react to changes in the systems environment. This paper describes ongoing work in developing necessary hard- and software components in order to perform realtime multi-level data fusion. We present the distributed I-SENSE platform and introduce our multi-level fusion framework. First experimental results on embedded image fusion demonstrates the feasibility of our approach\",\"PeriodicalId\":344061,\"journal\":{\"name\":\"2006 International Workshop on Intelligent Solutions in Embedded Systems\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Workshop on Intelligent Solutions in Embedded Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISES.2006.329120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Workshop on Intelligent Solutions in Embedded Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISES.2006.329120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
I-SENSE demonstrates the potential of combining the scientific research areas multi-sensor data fusion and pervasive embedded computing. The main idea is to provide a generic architecture which supports a distributed online data fusion on an embedded system. Due to their high onboard processing and communication power our proposed architecture is designed to perform sophisticated data fusion tasks in realtime. Another goal of I-SENSE is to dynamically change the configuration, thus, to be able to react to changes in the systems environment. This paper describes ongoing work in developing necessary hard- and software components in order to perform realtime multi-level data fusion. We present the distributed I-SENSE platform and introduce our multi-level fusion framework. First experimental results on embedded image fusion demonstrates the feasibility of our approach