Sensors, Vol. 19, Pages 3657: Leveraging Visual Place Recognition to Improve Indoor Positioning with Limited Availability of WiFi Scans

We present a way of transforming qualitative information of image similarity into quantitative constraints that are then fused into the graph-based optimization framework for positioning together with typical pedestrian dead reckoning (PDR) and WiFi fingerprinting constraints. Performance of the improved indoor positioning system is evaluated on different user trajectories logged inside an office building at our University campus. The results demonstrate that introducing additional sensing modality into the positioning system makes it possible to increase accuracy and simultaneously reduce the dependence on the quality of the pre-surveyed WiFi map and the WiFi measurements at run-time.
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research