Real-time sensor-fusion based Indoor Localization for Mobile Augmented Reality

Abstract

In this paper we propose a sensor-fusion based indoor localization method for Mobile Augmented Reality (MAR). The aim of this research is to explore multi-modality of a mobile device using the wide range of embedded sensors available for robust and accurate mobile localization with less computational power. In comparison to existing indoor localization methods, the proposed localization method not only mitigates constraints such as environmental device setups but also enhances the localization accuracy.