No need to war-drive: Unsupervised indoor localization

He Wang, Souvik Sen, Ahmed Elgohary, Moustafa Farid, Moustafa Youssef, Romit Roy Choudhury

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose UnLoc, an unsupervised indoor localization scheme that bypasses the need for war-driving. Our key observation is that certain locations in an indoor environment present identifiable signatures on one or more sensing dimensions. An elevator, for instance, imposes a distinct pattern on a smartphone's accelerometer; a corridor-corner may overhear a unique set of WiFi access points; a specific spot may experience an unusual magnetic fluctuation. We hypothesize that these kind of signatures naturally exist in the environment, and can be envisioned as internal landmarks of a building. Mobile devices that "sense" these landmarks can recalibrate their locations, while dead-reckoning schemes can track them between landmarks. Results from 3 different indoor settings, including a shopping mall, demonstrate median location errors of 1:69m. War-driving is not necessary, neither are floorplans the system simultaneously computes the locations of users and landmarks, in a manner that they converge reasonably quickly. We believe this is an unconventional approach to indoor localization, holding promise for real-world deployment.

Original languageEnglish (US)
Title of host publicationMobiSys'12 - Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services
Pages197-210
Number of pages14
DOIs
StatePublished - 2012
Externally publishedYes
Event10th International Conference on Mobile Systems, Applications, and Services, MobiSys'12 - Low Wood Bay, Lake District, United Kingdom
Duration: Jun 25 2012Jun 29 2012

Publication series

NameMobiSys'12 - Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services

Other

Other10th International Conference on Mobile Systems, Applications, and Services, MobiSys'12
Country/TerritoryUnited Kingdom
CityLow Wood Bay, Lake District
Period6/25/126/29/12

Keywords

  • landmarks
  • location
  • mobile phones
  • recursion
  • sensing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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