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.
出处
《国际计算机前沿大会会议论文集》
2015年第1期65-66,共2页
International Conference of Pioneering Computer Scientists, Engineers and Educators（ICPCSEE）
基金
This work is supported in part by the National Natural Science Foundation of China (NSFC) under Grant No.61370222 and No.61070193, Heilongjiang Province Founds for Distinguished Young Scientists under Grant No.JC201104, Technology Innovation of Heilongjiang Educational Committee under grant No.2013TD012, Program for Group of Science Harbin technological innovation found under grant No.2011RFXXG014.
