A modern smartphone is equipped with various types of sensors and modules such as
accelerometer, magnetometer, gyroscope, Wi-Fi, Bluetooth low energy (BLE), etc. These …

Smartphone-based indoor navigation systems are becoming increasingly popular in a
variety of applications. However, localization accuracy has always been a challenge. The …

In this paper, a particle filter based fusion algorithm running on smartphones is introduced. It
adopts signals, camera and IMU to achieve an accurate indoor positioning. The fusion …

As the WIFI access points are widely deployed, the received WIFI signal strength is
commonly adopted as a positioning characteristic for mobile phone based indoor …

In recent years, a number of wireless indoor positioning (WIP), such as Bluetooth, Wi-Fi, and
Ultra-Wideband (UWB) technologies, are emerging. However, the indoor environment is …

Although global positioning system (GPS) has largely solved the problem of outdoor
navigation, indoor positioning systems have remained a challenging problem over the last …

Commonly used Global Navigation Satellite Systems (GNSS) are inappropriate as Location
Based Services (LBS) in indoor environment. Therefore research teams are developing …

Particle filter and Viterbi tracking algorithm are two representative sensor fusion methods to
estimate a location of a mobile device by using various signals such as Wi-Fi, Bluetooth …

Smartphones have become an indispensable tool in the work and life of most people. Given
the many kinds of sensors built into smartphones, solving indoor navigation problems using …

Much research has addressed indoor localization by integrating portable/wearable sensing
and communication technologies. While GPS has dominated the outdoor environments …