title: An Indoor Positioning Method for Smartphones Using Landmarks and PDR.
abstract: Recently location based services (LBS) have become increasingly popular in indoor environments. Among these indoor positioning techniques providing LBS, a fusion approach combining WiFi-based and pedestrian dead reckoning (PDR) techniques is drawing more and more attention of researchers. Although this fusion method performs well in some cases, it still has some limitations, such as heavy computation and inconvenience for real-time use. In this work, we study map information of a given indoor environment, analyze variations of WiFi received signal strength (RSS), define several kinds of indoor landmarks, and then utilize these landmarks to correct accumulated errors derived from PDR. This fusion scheme, called Landmark-aided PDR (LaP), is proved to be light-weight and suitable for real-time implementation by running an Android application designed for the experiment. We compared LaP with other PDR-based fusion approaches. Experimental results show that the proposed scheme can achieve a significant improvement with an average accuracy of 2.17 m.
authors.affiliation: Department of Computer Science and Technology, Ocean University of China, Qingdao 266100, China. abwangxi@163.com.
authors.forename: Xi
authors.initials: X
authors.lastname: Wang
authors.affiliation: Department of Computer Foundation, Ocean University of China, Qingdao 266100, China. jiangmx@ouc.edu.cn.
authors.forename: Mingxing
authors.initials: M
authors.lastname: Jiang
authors.affiliation: Department of Computer Science and Technology, Ocean University of China, Qingdao 266100, China. guozhw@ouc.edu.cn.
authors.forename: Zhongwen
authors.initials: Z
authors.lastname: Guo
authors.affiliation: Information Center, Administration for Industry and Commerce of Qingdao, Qingdao 266071, China. hunaijun@sina.com.
authors.forename: Naijun
authors.initials: N
authors.lastname: Hu
authors.affiliation: Department of Computer Science and Technology, Ocean University of China, Qingdao 266100, China. sunzhongwei0423@126.com.
authors.forename: Zhongwei
authors.initials: Z
authors.lastname: Sun
authors.affiliation: Department of Computer Science and Technology, Ocean University of China, Qingdao 266100, China. liuj608@163.com.
authors.forename: Jing
authors.initials: J
authors.lastname: Liu
keywords: PDR; fusion; indoor positioning; landmarks