Smartphone Indoor Positioning using Inertial and Ambient Light Sensors.

This paper proposes a tracking system that integrates visible-light positioning and pedestrian dead reckoning using a smartphone’s built-in ambient light sensor and inertial sensors. By correcting the accumulated errors in the position estimation via ambient light sensing, the proposed system can achieve impressive tracking performance. The challenges of this approach and techniques to alleviate the various problems are described. Experiments demonstrate that the proposed system can achieve an average tracking error of 0.89 m. Issues to be investigated further are discussed, which will enable the system to be deployed in places such as museums and shopping malls.