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Employing spatial analysis in indoor positioning and tracking using wi-fi access points

Published: 31 October 2016 Publication History

Abstract

A practical WiFi-based positioning system has to be adaptable to the variations of indoor environmental dynamic factors. In this work, we propose a novel Wi-Fi indoor positioning and tracking framework which employs the spatial analysis and image processing techniques. The Wi-Fi surfaces can be dynamically constructed and updated and thus help to address the challenges of signal spatial heterogeneity and environmental variations. A mobile app for indoor positioning application has been developed as a proof of concept. Based on the experiments we conducted at the Esri campus, this method can achieve about 2-meter positioning accuracy. The proposed methodology and theoretical frame-work can guide engineers to implement cost-effective indoor positioning infrastructure, and thus offer insights on future smart campus applications. The introduced spatial analysis and geoprocessing workflow may also bring the attention of GIScientists to make more efforts to conquer the indoor positioning and tracking challenges.

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cover image ACM Conferences
ISA '16: Proceedings of the Eighth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
October 2016
56 pages
ISBN:9781450345859
DOI:10.1145/3005422
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Published: 31 October 2016

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Author Tags

  1. indoor positioning
  2. spatial analysis
  3. wifi fingerprinting

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SIGSPATIAL'16
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ISA '16 Paper Acceptance Rate 5 of 7 submissions, 71%;
Overall Acceptance Rate 5 of 7 submissions, 71%

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