A stayed location estimation method for sparse GPS positioning information

Sae Iwata, Tomoyuki Nitta, Toshinori Takayama, Masao Yanagisawa, Nozomu Togawa

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Cell phones with GPS function as well as GPS loggers are widely used and we can easily obtain users' geographic information. However, still battery consumption in these mobile devices is main concern and then we are not allowed to obtain GPS positioning data so frequently. In this paper, we propose a stayed location estimation method for sparse GPS positioning data. After generating initial clusters from a sequence of measured positions, we set the effective radius for every cluster based on positioning accuracy and merge the clusters effectively using it. After that, we temporarily remove short-time clusters but do not remove measured positions included in them. Then we merge the clusters again, taking all the measured positions into consideration. We perform this process twice, i.e, we perform two-stage short-time cluster removal, and finally realize accurate stayed location estimation even when the GPS positioning interval is five minutes or more. Experiments demonstrate that the total distance error between the estimated stayed location and the true stayed location is reduced by more than 50% compared to a conventional state-of-the-art method.

本文言語English
ホスト出版物のタイトル2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-5
ページ数5
ISBN(電子版)9781509040452
DOI
出版ステータスPublished - 2017 12 19
イベント6th IEEE Global Conference on Consumer Electronics, GCCE 2017 - Nagoya, Japan
継続期間: 2017 10 242017 10 27

出版物シリーズ

名前2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017
2017-January

Other

Other6th IEEE Global Conference on Consumer Electronics, GCCE 2017
国/地域Japan
CityNagoya
Period17/10/2417/10/27

ASJC Scopus subject areas

  • メディア記述
  • 器械工学
  • 電子工学および電気工学

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