A 3D Ubiquitous Multi-Platform Localization and Tracking System for Smartphone

Download or read book A 3D Ubiquitous Multi-Platform Localization and Tracking System for Smartphone written by Seyyed Mahmood Jafari Sadeghi and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We have designed and implemented an indoor/outdoor localization system utilizing several sources of information to provide the accurate location of a smartphone/tablet both indoors and outdoors. In this system, we merge the traditional indoor localization techniques based on Wi-Fi fingerprinting with the recent methods, which are mostly based on Bluetooth Low Energy (BLE) beacons, to acquire a higher accuracy of positioning and also support a wider range of smartphones such as Android and iOS devices. A new format for the advertisement packets of BLE beacons was proposed which embeds all parameters of the beacon including its location. Also, a transparent scheme is proposed and implemented, which combines indoor localization techniques with Global Positioning System (GPS) to increase the accuracy of the indoor localization and also provides us with a soft switching between the GPS and indoor positioning. We have shown that using a Medium Access Control (MAC) filtering method, we can reduce the size of Wi-Fi radiomap for fingerprinting techniques and hence reduce their complexity and run time. The problem of tracking and floor detection is also investigated and promising results are achieved by using the sensors such as barometer and gyroscope. We have also addressed the problem of large scale indoor positioning in which we have the fingerprinting database for thousands of buildings worldwide. Efficient algorithms have been proposed to reduce the complexity and the management overhead of the Wi-Fi fingerprints. A cooperative method was proposed that allows iOS devices through BLE packets broadcast by Android phones/tablets to localize themselves using Wi-Fi fingerprints inside a building. Finally, a sensor transmission system for Android devices was built, which allows us to simulate our algorithms in real-time using real-world data on a PC running Matlab software.