Seamless navigation using GNSS and Wi-Fi/IN with intelligent checkpoints

IF 1.2 Q4 TELECOMMUNICATIONS
Hannes Hofer, G. Retscher
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引用次数: 11

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..
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
摘要本工作的目的是将可用于导航的智能手机组件结合起来,以提高定位精度。无线模块使用位置指纹策略来选择和识别沿着用户轨迹的智能选择的检查点。这些路点(称为iCP)按照逻辑顺序排列,升序排列,因此它们必须被传递,并且可以很好地区分。此外,惯性传感器和数字罗盘用于连续检测定位的变化。行走时,对iCP进行的动态识别减少了传感器漂移,因为它们的识别起到了绝对位置更新的作用。在一栋多层办公楼中进行的实验表明,如果Wi-Fi和传感器数据相结合,平均1.9米的定位精度是可以实现的。相比之下,独立GPS平均偏差为19.8m。此外,通过综合定位方法,惯性导航平均从目的地的6.0m左右提高到1.5m。随着训练参考点的数量显著减少,使用这种新方法将工作量减少了四分之三。。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.70
自引率
8.70%
发文量
12
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.
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