TY - GEN
T1 - An indoor and outdoor seamless positioning system based on android platform
AU - Jia, Minglei
AU - Yang, Yanqin
AU - Kuang, Lei
AU - Xu, Wenchao
AU - Chu, Tianxing
AU - Song, Hongzhi
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016
Y1 - 2016
N2 - The proliferation of powerful mobile devices, along with the increasing demand of location information, has driven the researches to develop positioning applications with higher accuracy. In this paper, we build an Android application which achieved the aim of seamless positioning between the inside and the outside. The system contains four parts: outdoor positioning, which uses GPS and Baidu Map, indoor positioning, which adopts Wi-Fi fingerprint positioning, contextual detection, including indoor and outdoor detection and floor detection, which takes advantage of multiple sensors integrated on Android, functional configuration, whose work is to establish and manage Wi-Fi fingerprint database. We developed an Android APP that runs on the smartphones and experiments have been carried out in real environment with good accuracy of output. Experimental results indicate a remarkable performance improvement by using the proposed method about HMM.
AB - The proliferation of powerful mobile devices, along with the increasing demand of location information, has driven the researches to develop positioning applications with higher accuracy. In this paper, we build an Android application which achieved the aim of seamless positioning between the inside and the outside. The system contains four parts: outdoor positioning, which uses GPS and Baidu Map, indoor positioning, which adopts Wi-Fi fingerprint positioning, contextual detection, including indoor and outdoor detection and floor detection, which takes advantage of multiple sensors integrated on Android, functional configuration, whose work is to establish and manage Wi-Fi fingerprint database. We developed an Android APP that runs on the smartphones and experiments have been carried out in real environment with good accuracy of output. Experimental results indicate a remarkable performance improvement by using the proposed method about HMM.
KW - Contextual detection
KW - Multiple sensors
KW - Seamless positioning
KW - Smartphone platform
UR - https://www.scopus.com/pages/publications/85015204681
U2 - 10.1109/TrustCom.2016.0183
DO - 10.1109/TrustCom.2016.0183
M3 - 会议稿件
AN - SCOPUS:85015204681
T3 - Proceedings - 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016
SP - 1114
EP - 1120
BT - Proceedings - 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Joint 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016
Y2 - 23 August 2016 through 26 August 2016
ER -