MBITP: A Map Based Indoor Target Prediction in Smartphone

摘要

This paper presents MBITP, a novel method for an indoor target prediction through the sensor data which may be the Big Data. To predict target, a probability model is presented. In addition, a real-time error correction technique based on map feature is designed to enhance the estimation accuracy. Based on it, we propose an effective prediction algorithm. The practice evaluation shows that the method introduced in this paper has an acceptable performance in real-time target prediction.