survey

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

Authors:

Yunhao LiuAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 47, Issue 3

Article No.: 54, Pages 1 - 34

https://doi.org/10.1145/2676430

Published: 01 April 2015 Publication History

Abstract

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.

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Index Terms

Mobility Increases Localizability: A Survey on Wireless Indoor Localization using Inertial Sensors
1. Hardware
  1. Communication hardware, interfaces and storage
2. Networks

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 47, Issue 3

April 2015

602 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/2737799

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering / University of Florida / Gainesville, FL

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Publication History

Published: 01 April 2015

Accepted: 01 October 2014

Revised: 01 July 2014

Received: 01 February 2014

Published in CSUR Volume 47, Issue 3

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