Inertial Sensor-Based Indoor Pedestrian Localization for IPhones

Vy T.D.; Nguyen T.L.N.; Shin Y.

doi:10.1109/ICTC46691.2019.8939832

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Inertial Sensor-Based Indoor Pedestrian Localization for IPhones

Vy T.D.;
Nguyen T.L.N.;
Shin Y.

Citations

SCOPUS

8

초록

This paper proposes a new approach to solve the tracking problem for iPhones (e.g., iPhone 7) in indoor environments when Wi-Fi access point density is low. Different from the Android-based platforms, localization apps that run on iPhones are more strictly controlled by Apple. With a self localization scenario, a mobile iPhone receives signals from the Wi-Fi access points and interprets the received signals as ambient information for localizing its position in an area of interest. It also employs the inertial measurement units for navigation task. We improve the conventional pedestrian reckoning method by reducing drifting effects caused by user's walking style. Experiment results validate the effectiveness of the proposed scheme. © 2019 IEEE.

키워드

drifting effect reduction; indoor localization; inertial sensors; pedestrian dead reckoning; step-heading system tracking; Inertial navigation systems; Smartphones; Wireless local area networks (WLAN); Ambient information; Indoor environment; Indoor localization; Inertial measurement unit; Inertial sensor; Pedestrian dead reckonings; System tracking; Wi-fi access points; Indoor positioning systems

제목: Inertial Sensor-Based Indoor Pedestrian Localization for IPhones

저자: Vy T.D.; Nguyen T.L.N.; Shin Y.

DOI: 10.1109/ICTC46691.2019.8939832

발행일: 2019-10

유형: Conference Paper

저널명: ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future

페이지: 200 ~ 203

언어: ENG

출판사: Institute of Electrical and Electronics Engineers Inc.

발행국가: 미국

분량: 4 페이지

ISSN: P 0000-0000