Shijun Chen, Dawei Chen, Yuanyuan Wang, Xinxin Liu
{"title":"3D Indoor Localization Mechanism Based on Multiple Sensors","authors":"Shijun Chen, Dawei Chen, Yuanyuan Wang, Xinxin Liu","doi":"10.1109/CYBERC.2018.00097","DOIUrl":null,"url":null,"abstract":"In unfamiliar complicated high-rise building, users not only have to understand the 2D plane location information of floor, but also need to obtain the Z axis information of floor. According to this requirement, we proposed a 3D indoor localization mechanism based on multi-sensor, which integrates the air pressure examination and geomagnetic examination information to assist inertial navigation for calibration, and conduct integrated processing of examined information. The mechanism is based on the dynamic air pressure floor discrimination model, and according to the actual current floor, average time spent by passing each floor and the height of each floor, determine the floor of user in a real-time manner; according to the standard geomagnetic information data of floor, compute the geomagnetic coordinates of current location based on the geomagnetic realtime localization model, and obtain the floor of personnel and the plane location on the floor in a real-time manner. During the localization process of mechanism, it does not require additional hardware equipment or network signal, but only needs the air pressure gauge sensor and geomagnetic sensor to complete the indoor 3D real-time localization of building, which is convenient in practical application with broad adaptability.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBERC.2018.00097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In unfamiliar complicated high-rise building, users not only have to understand the 2D plane location information of floor, but also need to obtain the Z axis information of floor. According to this requirement, we proposed a 3D indoor localization mechanism based on multi-sensor, which integrates the air pressure examination and geomagnetic examination information to assist inertial navigation for calibration, and conduct integrated processing of examined information. The mechanism is based on the dynamic air pressure floor discrimination model, and according to the actual current floor, average time spent by passing each floor and the height of each floor, determine the floor of user in a real-time manner; according to the standard geomagnetic information data of floor, compute the geomagnetic coordinates of current location based on the geomagnetic realtime localization model, and obtain the floor of personnel and the plane location on the floor in a real-time manner. During the localization process of mechanism, it does not require additional hardware equipment or network signal, but only needs the air pressure gauge sensor and geomagnetic sensor to complete the indoor 3D real-time localization of building, which is convenient in practical application with broad adaptability.