CRAFT reducing the effort for indoor localisation

摘要

Indoor localisation systems have slowly become more and more accurate. Each localisation system needs tuning to affect reasonable performance. In this paper we propose CRAFT, a crowd sourced approach to constructing a WiFi fingerprint database. The method uses a temporarily deployment of a small number of anchor nodes to roughly locate the position of the WiFi sample. Through thorough experiments in a real-world building, CRAFT's error is 2.2 m a decrease of 25% when compare to other published results.