Using Wi-Fi Signals for Creating a Clustered Image Database in UMap

摘要

UMap is an indoor localization system based on the image-based similarity between a photograph taken at a client smartphone and the database at the server. A problem in the current UMAP is the inefficiency in searching the appropriate image in the database. In this paper, we propose reorganization of the database by clustering the registered images based on the rough location estimated by Wi-Fi signals. This paper describes the design of the enhanced UMap database system.