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.