Pedestrian Indoor and Outdoor Seamless Positioning Technology and Prototype System Based on Cloud⁃End Collaboration of Smartphone

被引：0
|
作者：
Liu W. [1 ]
Tao X. [1 ]
Zhang C. [2 ]
Yao Y. [1 ]
Wang F. [1 ]
Jia H. [2 ]
Lou Y. [3 ]
机构：
[1] School of Geodesy and Geomatics, Wuhan University, Wuhan
[2] Baidu Netcom Science and Technology Co. Ltd., Beijing
[3] GNSS Research Center, Wuhan University, Wuhan
来源：
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | 2021年 / 46卷 / 12期
关键词：
Cloud⁃end collaboration; Machine learning; Multi⁃source fusion; Pedestrian navigation; Seamless indoor and outdoor; Smartphone;
D O I：
10.13203/j.whugis20210310
中图分类号：
学科分类号：
摘要：
Objectives: With the rise of location service applications and the popularization of mobile smart terminals, the demand for high⁃precision navigation and positioning is extending from isolated areas to seamless whole areas, from professional groups to mass users. However, real⁃time, continuous, and complete pedestrian navigation still faces many challenges, such as occlusion of global navigation satellite system (GNSS) signals, frequent updates of Wi⁃Fi/ bluetooth low energy (BLE)/geomagnetic fingerprint databases, and smoothly switching in the transitional area of indoor and outdoor. In addition, the positioning sensors of popular mobile smart terminals are limited by cost and power consumption, and the observation data is generally noisy and poor in stability. Methods: Therefore, this paper proposes a pedestrian indoor and outdoor seamless positioning technology based on cloud⁃end collaboration of smartphone, which breaks through the crowd sourced collection and rapid update of the beacon fingerprint database, the precise positioning of the smart phone multi⁃sensor information fusion, and the indoor and outdoor seamless switching. We have developed a smartphone positioning application for pedestrians. The collaborative precision positioning enhancement information is provided by the location service platform and the multi⁃source observations data (GNSS, miniature inertial measurement unit (MIMU), Wi⁃Fi, BLE, magnetometer, barometer) are obtained by the smartphone. Results: The feild test results show that the outdoor positioning accuracy of ordinary users is better than 1.5 m, and indoor accuracy is about 1-3 m. Conclusions: It supports thedemand of mass⁃market users for seamless and precise positioning indoors and outdoors. © 2021, Editorial Board of Geomatics and Information Science of Wuhan University. All right reserved.
引用
收藏
页码：1808 / 1818
页数：10
相关论文
共 25 条
  • [1] Verhagen S, Odijk D, Teunissen P J G, Et al., Performance Improvement with Low-cost Multi-GNSS Receivers, The 5th ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC), (2010)
  • [2] Humphreys T E, Murrian M, van Diggelen F, Et al., On the Feasibility of cm-Accurate Positioning via a Smartphone's Antenna and GNSS Chip, IEEE/ION Position, Location and Navigation Symposium (PLANS), (2016)
  • [3] Chen Ruizhi, Chen Liang, Indoor Positioning with Smartphones: The State-of-the-Art and the Challenges, Acta Geodaetica et Cartographica Sinica, 46, 10, pp. 1316-1326, (2017)
  • [4] Jiang Weiping, Guo Chi, Zuo Wenwei, Progress and Thought of Navigation and Location Services in China, Bulletin of Surveying and Mapping, 1, pp. 1-4, (2020)
  • [5] Tu Wei, Cao Jinzhou, Gao Qili, Et al., Sensing Urban Dynamics by Fusing Multi-sourced Spatiotemporal Big Data, Geomatics and Information Science of Wuhan University, 45, 12, pp. 1875-1883, (2020)
  • [6] Qu Xiangfang, The BeiDou Satellite Navigation and Positioning System Global Networking Industry Chain Ushers in New Development Opportunities-"2018 China Satellite Navigation and Location Service Industry Development White Paper" is Released, Satellite Application, 8, pp. 65-71, (2018)
  • [7] Guo Danhuai, Zhang Mingke, Jia Nan, Et al., Survey of Point-of-Interest Recommendation Research Fused with Deep Learning, Geomatics and Information Science of Wuhan University, 45, 12, pp. 1890-1902, (2020)
  • [8] GNSS Market Report, (2019)
  • [9] Pesyna K M J, Heath R W J, Humphreys T E., Centimeter Positioning with a Smartphone-Quality GNSS Antenna, The ION GNSS 2014, (2014)
  • [10] Hsu L T, Gu Y, Kamijo S., NLOS Correction/Exclusion for GNSS Measurement Using RAIM and City Building Models, Sensors, 15, 7, pp. 17329-17349, (2015)
123