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Mobility Increases Localizability: A Survey on Wireless Indoor Localization using Inertial Sensors

机译:移动性提高了可定位性:使用惯性传感器进行无线室内定位的一项调查

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摘要

Wireless indoor positioning has been extensively studied for the past 2 decades and continuously attracted growing research efforts in mobile computing context. As the integration of multiple inertial sensors (e.g., accelerometer, gyroscope, and magnetometer) to nowadays smartphones in recent years, human-centric mobility sensing is emerging and coming into vogue. Mobility information, as a new dimension in addition to wireless signals, can benefit localization in a number of ways, since location and mobility are by nature related in the physical world. In this article, we survey this new trend of mobility enhancing smartphone-based indoor localization. Specifically, we first study how to measure human mobility: what types of sensors we can use and what types of mobility information we can acquire. Next, we discuss how mobility assists localization with respect to enhancing location accuracy, decreasing deployment cost, and enriching location context. Moreover, considering the quality and cost of smartphone built-in sensors, handling measurement errors is essential and accordingly investigated. Combining existing work and our own working experiences, we emphasize the principles and conduct comparative study of the mainstream technologies. Finally, we conclude this survey by addressing future research directions and opportunities in this new and largely open area.
机译:在过去的20年中,无线室内定位已经得到了广泛的研究,并且在移动计算环境中不断吸引着越来越多的研究工作。近年来,随着将多个惯性传感器(例如,加速度计,陀螺仪和磁力计)集成到智能手机中,以人为中心的移动感测正在兴起并流行。作为位置信息和移动性与物理世界有关,移动信息作为无线信号之外的新维度,可以通过多种方式使定位受益。在本文中,我们调查了移动性增强基于智能手机的室内本地化这一新趋势。具体来说,我们首先研究如何测量人员流动性:我们可以使用哪些类型的传感器以及我们可以获取哪些类型的移动性信息。接下来,我们将讨论移动性如何在增强位置准确性,降低部署成本和丰富位置上下文方面协助本地化。此外,考虑到智能手机内置传感器的质量和成本,处理测量错误至关重要,因此应进行调查。结合现有工作和我们自己的工作经验,我们强调原理并进行主流技术的比较研究。最后,我们通过探讨在这个新的,开放的地区的未来研究方向和机会来结束本调查。

著录项

  • 来源
    《ACM Computing Surveys》 |2015年第3期|575-608|共34页
  • 作者单位

    Tsinghua Univ, Sch Software, Beijing 100084, Peoples R China|Tsinghua Univ, TNList, Beijing 100084, Peoples R China;

    Tsinghua Univ, Sch Software, Beijing 100084, Peoples R China|Tsinghua Univ, TNList, Beijing 100084, Peoples R China;

    Hong Kong Univ Sci & Technol, Dept Comp Sci & Engn, Hong Kong, Hong Kong, Peoples R China;

    Hong Kong Univ Sci & Technol, Dept Comp Sci & Engn, Hong Kong, Hong Kong, Peoples R China;

    Tsinghua Univ, Sch Software, Beijing 100084, Peoples R China|Tsinghua Univ, TNList, Beijing 100084, Peoples R China;

    Tsinghua Univ, Sch Software, Beijing 100084, Peoples R China|Tsinghua Univ, TNList, Beijing 100084, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Design; Algorithms; Mobility; smartphones; wireless indoor localization;

    机译:设计;算法;移动性;智能手机;无线室内定位;
  • 入库时间 2022-08-18 00:45:45

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