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
Distinguished Professor
IEEE Fellow
AAIA Fellow
AAIS Fellow
School of Computer Sicence, Shanghai Jiao Tong University
Address: Room 437, Building 3, SEIEE No. 800 Dongchuan Road Minhang District, Shanghai, China
Email: FirstName.LastName AT sjtu.edu.cn
My research interests include Internet of Things, Ubiquitous Computing, Mobile Computing, Embedded AI, Wireless Sensor Networks, and Big Data Analytics.