Cunle Zhang, Yi Zhang, Chengkai Tang, Haonan Wang, Jiaming Zhang, Haobo Li
{"title":"地下矿山集群三维实时协同定位算法","authors":"Cunle Zhang, Yi Zhang, Chengkai Tang, Haonan Wang, Jiaming Zhang, Haobo Li","doi":"10.1109/ICSPCC55723.2022.9984540","DOIUrl":null,"url":null,"abstract":"Location service is becoming more and more important in modern large-scale mines, and its primary demand is large scale, high precision and fast speed. This paper proposes a real-time cooperative location method of three- dimensional factor graph to deal with large-scale user location to solve the problem of cluster target location, including mine height assistance strategy, information transmission criterion, factor graph confidence model and three-dimensional factor graph cooperative location algorithm. Simulation results show that the proposed algorithm is superior to other algorithms in positioning scale, accuracy and real-time performance.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Clusters 3D Real-time Cooperative Positioning Algorithm in Underground Mines\",\"authors\":\"Cunle Zhang, Yi Zhang, Chengkai Tang, Haonan Wang, Jiaming Zhang, Haobo Li\",\"doi\":\"10.1109/ICSPCC55723.2022.9984540\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Location service is becoming more and more important in modern large-scale mines, and its primary demand is large scale, high precision and fast speed. This paper proposes a real-time cooperative location method of three- dimensional factor graph to deal with large-scale user location to solve the problem of cluster target location, including mine height assistance strategy, information transmission criterion, factor graph confidence model and three-dimensional factor graph cooperative location algorithm. Simulation results show that the proposed algorithm is superior to other algorithms in positioning scale, accuracy and real-time performance.\",\"PeriodicalId\":346917,\"journal\":{\"name\":\"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPCC55723.2022.9984540\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPCC55723.2022.9984540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Clusters 3D Real-time Cooperative Positioning Algorithm in Underground Mines
Location service is becoming more and more important in modern large-scale mines, and its primary demand is large scale, high precision and fast speed. This paper proposes a real-time cooperative location method of three- dimensional factor graph to deal with large-scale user location to solve the problem of cluster target location, including mine height assistance strategy, information transmission criterion, factor graph confidence model and three-dimensional factor graph cooperative location algorithm. Simulation results show that the proposed algorithm is superior to other algorithms in positioning scale, accuracy and real-time performance.