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
Professor
IEEE Fellow
AAIA Fellow
ACM Distinguished Member
Email: firstname dot lastname AT mq.edu.au
Phone: +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.