{"title":"indoo。rs CaLibre -无监督数据库免费RSSI校准室内导航","authors":"Boxian Dong, Thomas Burgess, H. Neuner","doi":"10.1109/EURONAV.2017.7954209","DOIUrl":null,"url":null,"abstract":"Mobile indoor navigation systems, such as those provided by indoo.rs, often use WiFi or Bluetooth RSSI fingerprint maps, as this approach works on most mobile devices. Because of device and antenna characteristics, not all devices report the RSSI for a given input. Therefore, it is difficult to combine data from multiple devices. In the indoo.rs SLAM Crowd Engine, which is used to create the radio maps used for indoor navigation, this is a serious problem, as it fuses pseudonymous navigating user data from arbitrary devices.","PeriodicalId":145124,"journal":{"name":"2017 European Navigation Conference (ENC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"indoo.rs CaLibre - Unsupervised database free RSSI calibration indoor navigation\",\"authors\":\"Boxian Dong, Thomas Burgess, H. Neuner\",\"doi\":\"10.1109/EURONAV.2017.7954209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mobile indoor navigation systems, such as those provided by indoo.rs, often use WiFi or Bluetooth RSSI fingerprint maps, as this approach works on most mobile devices. Because of device and antenna characteristics, not all devices report the RSSI for a given input. Therefore, it is difficult to combine data from multiple devices. In the indoo.rs SLAM Crowd Engine, which is used to create the radio maps used for indoor navigation, this is a serious problem, as it fuses pseudonymous navigating user data from arbitrary devices.\",\"PeriodicalId\":145124,\"journal\":{\"name\":\"2017 European Navigation Conference (ENC)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 European Navigation Conference (ENC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EURONAV.2017.7954209\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 European Navigation Conference (ENC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EURONAV.2017.7954209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mobile indoor navigation systems, such as those provided by indoo.rs, often use WiFi or Bluetooth RSSI fingerprint maps, as this approach works on most mobile devices. Because of device and antenna characteristics, not all devices report the RSSI for a given input. Therefore, it is difficult to combine data from multiple devices. In the indoo.rs SLAM Crowd Engine, which is used to create the radio maps used for indoor navigation, this is a serious problem, as it fuses pseudonymous navigating user data from arbitrary devices.
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