An indoor collaborative pedestrian dead reckoning system

Yi Ting Li, Guaning Chen, Min Te Sun

研究成果: 書貢獻/報告類型會議論文篇章同行評審

10 引文 斯高帕斯(Scopus)

摘要

Indoor localization has become a popular topic in recent years. While self-contained pedestrian dead reckoning (PDR) systems can be conveniently implemented on a smartphone with built-in inertial sensors for indoor localization, the error of the estimated position for a PDR system can accumulate quickly and results in an unacceptable position accuracy. To address this issue, we propose the collaborative pedestrian dead reckoning (CPDR) system. The main idea of the CPDR system is when users are near to each other, we can leverage the proximity information to improve their estimated positions by means of the opportunistic Kalman filter. In addition, the backward correction scheme is used to improve the accuracy of user's trajectory. To evaluate the CPDR system, a prototype is implemented on Apple's iPhone 5. The experiment results show that the CPDR system achieves a better position accuracy than the raw PDR system.

原文???core.languages.en_GB???
主出版物標題Proceedings
主出版物子標題International Conference on Parallel Processing - The 42nd Annual Conference, ICPP 2013
發行者Institute of Electrical and Electronics Engineers Inc.
頁面923-930
頁數8
ISBN(列印)9780769551173
DOIs
出版狀態已出版 - 2013
事件42nd Annual International Conference on Parallel Processing, ICPP 2013 - Lyon, France
持續時間: 1 10月 20134 10月 2013

出版系列

名字Proceedings of the International Conference on Parallel Processing
ISSN(列印)0190-3918

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???42nd Annual International Conference on Parallel Processing, ICPP 2013
國家/地區France
城市Lyon
期間1/10/134/10/13

指紋

深入研究「An indoor collaborative pedestrian dead reckoning system」主題。共同形成了獨特的指紋。

引用此