Indoor Positioning using Magnetometer on Smartphone

In this project, we present an indoor localization system using magnetometer on smartphone. The system does not require any infrastructure or proprietary devices. We develop an augmented particle filter with a dynamic step length estimation algorithm and a heuristic particle re-sampling algorithm, and create several innovations to minimize errors and improve robustness. The prototype system achieves an accuracy of 1-2.8m on average.

This work has been reported in UbiComp 2014, and IEEE Transactions on Mobile Computing.

Tao Gu
Tao Gu
Email: firstname dot lastname AT mq.edu.au
Phone Number: +61-2-9850-4357
Address: Room 267, 4 Research Park Drive, North Ryde, NSW, 2109, Australia

My research interests include Internet of Things, Ubiquitous Computing, Mobile Computing, Embedded AI, Wireless Sensor Networks, and Big Data Analytics.