{"title":"使用全球导航卫星系统和带智能检查站的Wi-Fi/IN进行无缝导航","authors":"Hannes Hofer, G. Retscher","doi":"10.1080/17489725.2017.1415385","DOIUrl":null,"url":null,"abstract":"Abstract The aim of this work is to combine smartphone components which can be used for navigation in order to improve the accuracy of positioning. Intelligently chosen checkpoints along the user’s trajectory are selected and recognised by the wireless module using a location fingerprinting strategy. These waypoints (referred to as iCPs) are placed following a logical sequence with their ascending orders so that they must be passed and can be distinguished well. Moreover, the inertial sensors and the digital compass are used to detect changes in positioning continuously. While walking, the performed dynamic recognition of the iCPs reduces sensor drift as their recognition serves as absolute position update. Conducted experiments in a multi-storey office building indicated that positioning accuracy of 1.9 m on average is achievable if Wi-Fi and sensors data are combined. In contrast, with standalone GPS deviations of 19.8 m on average were obtained. Furthermore, an improvement of inertial navigation from around 6.0 m for the destination point to 1.5 m is achieved on average by the integrated positioning approach. This achievement goes along with a reduction of workload by three quarter using this novel approach as the number of reference points for training is reduced significantly..","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"11 1","pages":"204 - 221"},"PeriodicalIF":1.2000,"publicationDate":"2017-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2017.1415385","citationCount":"11","resultStr":"{\"title\":\"Seamless navigation using GNSS and Wi-Fi/IN with intelligent checkpoints\",\"authors\":\"Hannes Hofer, G. Retscher\",\"doi\":\"10.1080/17489725.2017.1415385\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract The aim of this work is to combine smartphone components which can be used for navigation in order to improve the accuracy of positioning. Intelligently chosen checkpoints along the user’s trajectory are selected and recognised by the wireless module using a location fingerprinting strategy. These waypoints (referred to as iCPs) are placed following a logical sequence with their ascending orders so that they must be passed and can be distinguished well. Moreover, the inertial sensors and the digital compass are used to detect changes in positioning continuously. While walking, the performed dynamic recognition of the iCPs reduces sensor drift as their recognition serves as absolute position update. Conducted experiments in a multi-storey office building indicated that positioning accuracy of 1.9 m on average is achievable if Wi-Fi and sensors data are combined. In contrast, with standalone GPS deviations of 19.8 m on average were obtained. Furthermore, an improvement of inertial navigation from around 6.0 m for the destination point to 1.5 m is achieved on average by the integrated positioning approach. This achievement goes along with a reduction of workload by three quarter using this novel approach as the number of reference points for training is reduced significantly..\",\"PeriodicalId\":44932,\"journal\":{\"name\":\"Journal of Location Based Services\",\"volume\":\"11 1\",\"pages\":\"204 - 221\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2017-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/17489725.2017.1415385\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Location Based Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/17489725.2017.1415385\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Location Based Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17489725.2017.1415385","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
Seamless navigation using GNSS and Wi-Fi/IN with intelligent checkpoints
Abstract The aim of this work is to combine smartphone components which can be used for navigation in order to improve the accuracy of positioning. Intelligently chosen checkpoints along the user’s trajectory are selected and recognised by the wireless module using a location fingerprinting strategy. These waypoints (referred to as iCPs) are placed following a logical sequence with their ascending orders so that they must be passed and can be distinguished well. Moreover, the inertial sensors and the digital compass are used to detect changes in positioning continuously. While walking, the performed dynamic recognition of the iCPs reduces sensor drift as their recognition serves as absolute position update. Conducted experiments in a multi-storey office building indicated that positioning accuracy of 1.9 m on average is achievable if Wi-Fi and sensors data are combined. In contrast, with standalone GPS deviations of 19.8 m on average were obtained. Furthermore, an improvement of inertial navigation from around 6.0 m for the destination point to 1.5 m is achieved on average by the integrated positioning approach. This achievement goes along with a reduction of workload by three quarter using this novel approach as the number of reference points for training is reduced significantly..
期刊介绍:
The aim of this interdisciplinary and international journal is to provide a forum for the exchange of original ideas, techniques, designs and experiences in the rapidly growing field of location based services on networked mobile devices. It is intended to interest those who design, implement and deliver location based services in a wide range of contexts. Published research will span the field from location based computing and next-generation interfaces through telecom location architectures to business models and the social implications of this technology. The diversity of content echoes the extended nature of the chain of players required to make location based services a reality.