Ubiquitous Tracking using Motion and Location Sensor with Application to Smartphone


In this paper, a cost efficient fusion scheme, Ubiquitous Tracking with Motion and Location Sensor (UTMLS), is proposed for the accurate localization and tracking in mixed GPS-friendly, GPS-challenging, and GPS-denied scenario. The proposed drift-reduction method in UTMLS addresses the cumulating error issue in the indoor tracking with the consumer grade motion sensor. The proposed hypothesis test method in UTMLS improves the tracking sensor fusion precision by detecting distorted GPS reports and intelligently switching between GPS and inertial sensor based schemes. The proposed scheme is instantiated and implemented on an Android smartphone platform. Experiments have been conducted to evaluate and validate the accuracy. Experimental results show that 1) the proposed drift-reduction method effectively suppresses the non-GPS tracking error accumulation due to the integration of acceleration noise with time 2) UTMLS realizes robust indoor/outdoor seamless tracking, preventing GPS fault estimates introduced tracking error in the conventional Kalman filtering process.

Meeting Name

2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017 (2017: May 29-31, Hong Kong, China)


Electrical and Computer Engineering

Keywords and Phrases

Android (operating system); Errors; Kalman filters; Motion analysis; Sensors; Signal encoding; Smartphones; Testing; Android; Android smartphone; Hypothesis tests; Inertial sensor; Kalman-filtering; Localization; Localization and tracking; Location sensors; Global positioning system; GPS; IMU

International Standard Book Number (ISBN)


Document Type

Article - Conference proceedings

Document Version


File Type





© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 May 2017