RSSI-based fingerprint map building for indoor localization

Yu Cheol Lee, Seung Hwan Park

Research output: Contribution to conferencePaperpeer-review

10 Scopus citations

Abstract

This paper has proposed a mapping system to build the RSSI-based fingerprint database for indoor localization. The mapping system has been developed practically to achieve two main objectives, fast and accurate radio-map construction. For the first aim, we implement the specially designed handheld mapping cart consisting of an odometer, a LiDAR, and a WLAN receiver in order to rapidly measure the environmental data at each area. To accomplish the rest goal, we suggest the map building algorithms employing the scan-matching, the graph-based optimization, and probabilistic median filter by using the gathered environmental data. The experiment has been performed in real office space to demonstrate the practical usability of the proposed method. And finally, we remark the conclusion and offer the future works to improve the mapping system of RSSI-based fingerprint database.

Original languageEnglish
Pages292-293
Number of pages2
DOIs
StatePublished - 2013
Event2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2013 - Jeju, Korea, Republic of
Duration: 30 Oct 20132 Nov 2013

Conference

Conference2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2013
Country/TerritoryKorea, Republic of
CityJeju
Period30/10/132/11/13

Keywords

  • fingerprinting location
  • indoor localization
  • mapping system
  • RSSI-based map

Fingerprint

Dive into the research topics of 'RSSI-based fingerprint map building for indoor localization'. Together they form a unique fingerprint.

Cite this