Smartphone-based integrated PDR/GPS/Bluetooth pedestrian location

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• 作者：Xianghong Li^a ; ^b ; Dongyan Wei^a ; Qifeng Lai^a ; Ying Xu^a ; ^{nadinexy@aoe.ac.cn} ; Hong Yuan^a
• 关键词：Integrated PDR/GPS/Bluetooth ; Data fusion ; Heading estimation ; Context detection
• 刊名：Advances in Space Research
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：59
• 期：3
• 页码：877-887
• 全文大小：1763 K
• 卷排序：59

文摘

Typical indoor location method is fingerprint and traditional outdoor location system is GPS. Both of them are of poor accuracy and limited only for indoor or outdoor environments. As the smartphones are equipped with MEMS sensors, it means PDR can be widely used. In this paper, an algorithm of smartphone-based integrated PDR/GPS/Bluetooth for pedestrian location in the indoor/outdoor is proposed, which can be highly expected to realize seamless indoor/outdoor localization of the pedestrian. In addition, we also provide technologies to estimate orientation with Magnetometer and Gyroscope and detect context with output of sensors. The extensive experimental results show that the proposed algorithm can realize seamless indoor/outdoor localization.