{"title":"基于最近邻准则的协同定位模型","authors":"Yi Xiao, He You, Guan Xin","doi":"10.1109/PLANS.2004.1309056","DOIUrl":null,"url":null,"abstract":"This paper presents current work on decentralized data fusion applied to the relative localization among multiple platform, which is one of the key formation control techniques for mobile robots or unmanned aerial vehicles. A novel Nearest Neighbor-based scheme is proposed to estimate the navigational states own from the range measurement to other platform. The model to calculate the pseudomeasurement and the concomitant error covariance matrix is deduced for the planar circumstance.","PeriodicalId":102388,"journal":{"name":"PLANS 2004. Position Location and Navigation Symposium (IEEE Cat. No.04CH37556)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Cooperative location model under the Nearest Neighbor criterion\",\"authors\":\"Yi Xiao, He You, Guan Xin\",\"doi\":\"10.1109/PLANS.2004.1309056\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents current work on decentralized data fusion applied to the relative localization among multiple platform, which is one of the key formation control techniques for mobile robots or unmanned aerial vehicles. A novel Nearest Neighbor-based scheme is proposed to estimate the navigational states own from the range measurement to other platform. The model to calculate the pseudomeasurement and the concomitant error covariance matrix is deduced for the planar circumstance.\",\"PeriodicalId\":102388,\"journal\":{\"name\":\"PLANS 2004. Position Location and Navigation Symposium (IEEE Cat. No.04CH37556)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PLANS 2004. Position Location and Navigation Symposium (IEEE Cat. No.04CH37556)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PLANS.2004.1309056\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PLANS 2004. Position Location and Navigation Symposium (IEEE Cat. No.04CH37556)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PLANS.2004.1309056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cooperative location model under the Nearest Neighbor criterion
This paper presents current work on decentralized data fusion applied to the relative localization among multiple platform, which is one of the key formation control techniques for mobile robots or unmanned aerial vehicles. A novel Nearest Neighbor-based scheme is proposed to estimate the navigational states own from the range measurement to other platform. The model to calculate the pseudomeasurement and the concomitant error covariance matrix is deduced for the planar circumstance.