{"title":"基于边缘计算的多源室内定位系统","authors":"Umba Ilunga Jeannick, Haibo Wang, M. Ma","doi":"10.1109/JEEIT58638.2023.10185844","DOIUrl":null,"url":null,"abstract":"Due to its significance in numerous applications, indoor positioning has garnered increasing interest. The WiFi fingerprinting method and pedestrian dead reckoning approach are the most popular methods for indoor positioning. However, both methods have certain limitations in terms of accuracy and response time, rendering them ineffective for some applications. To overcome these problems, we propose a system based on edge computing that combines these two methods. The results of our experiments show that our proposed method outperforms standalone methods by giving an average positioning error of 0.75 m in just 0.7 seconds.","PeriodicalId":177556,"journal":{"name":"2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)","volume":"132 10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multisource Indoor Positioning System Based on Edge Computing\",\"authors\":\"Umba Ilunga Jeannick, Haibo Wang, M. Ma\",\"doi\":\"10.1109/JEEIT58638.2023.10185844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to its significance in numerous applications, indoor positioning has garnered increasing interest. The WiFi fingerprinting method and pedestrian dead reckoning approach are the most popular methods for indoor positioning. However, both methods have certain limitations in terms of accuracy and response time, rendering them ineffective for some applications. To overcome these problems, we propose a system based on edge computing that combines these two methods. The results of our experiments show that our proposed method outperforms standalone methods by giving an average positioning error of 0.75 m in just 0.7 seconds.\",\"PeriodicalId\":177556,\"journal\":{\"name\":\"2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)\",\"volume\":\"132 10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/JEEIT58638.2023.10185844\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JEEIT58638.2023.10185844","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multisource Indoor Positioning System Based on Edge Computing
Due to its significance in numerous applications, indoor positioning has garnered increasing interest. The WiFi fingerprinting method and pedestrian dead reckoning approach are the most popular methods for indoor positioning. However, both methods have certain limitations in terms of accuracy and response time, rendering them ineffective for some applications. To overcome these problems, we propose a system based on edge computing that combines these two methods. The results of our experiments show that our proposed method outperforms standalone methods by giving an average positioning error of 0.75 m in just 0.7 seconds.