Visual Indoor Localization in Known Environments

In this letter, we propose a visual indoor localization technique, which localizes a camera sensor by comparing the acquired images to a reference model of location-tagged visual features. The proposed method relies on an efficient way to search for feature matches, which can run in real time. Experimental results show good localization accuracy even in challenging scenarios.