K. Hattori, Ryousuke Kimura, N. Nakajima, T. Fujii, Y. Kado, Bing Zhang, T. Hazugawa, K. Takadama
{"title":"Hybrid Indoor Location Estimation System Using Image Processing and WiFi Strength","authors":"K. Hattori, Ryousuke Kimura, N. Nakajima, T. Fujii, Y. Kado, Bing Zhang, T. Hazugawa, K. Takadama","doi":"10.1109/WNIS.2009.92","DOIUrl":null,"url":null,"abstract":"Recently, the service of cellular phone which is dependent on the location is spreading widely. Various techniques are suggested for the location estimation in indoor, however, indoor location estimation techniques have many subjects with a cost and an aspect of the accuracy. To deal with these subjects, we propose a quite new hybrid indoor location estimation method for paying attention to a smart phone with built-in wifi and camera. The proposal method is able to realized both highly accuracy of indoor location estimation and low cost by using the two-dimensional marker, wifi base stations, and the radio wave strength of adhoc communications. Verified by using simulation was able to demonstrate the effectiveness.","PeriodicalId":280001,"journal":{"name":"2009 International Conference on Wireless Networks and Information Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Wireless Networks and Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WNIS.2009.92","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
Recently, the service of cellular phone which is dependent on the location is spreading widely. Various techniques are suggested for the location estimation in indoor, however, indoor location estimation techniques have many subjects with a cost and an aspect of the accuracy. To deal with these subjects, we propose a quite new hybrid indoor location estimation method for paying attention to a smart phone with built-in wifi and camera. The proposal method is able to realized both highly accuracy of indoor location estimation and low cost by using the two-dimensional marker, wifi base stations, and the radio wave strength of adhoc communications. Verified by using simulation was able to demonstrate the effectiveness.