Indoor localization systems using WiFi received signal strength (RSS) or pedestrian dead
reckoning (PDR) both have their limitations, such as the RSS fluctuation and the …

To exploit the complementary strengths of WiFi positioning, pedestrian dead reckoning
(PDR), and landmarks, we propose a novel fusion approach based on an extended Kalman …

Location-based services (LBS) have attracted a great deal of attention recently. Outdoor
localization can be solved by the GPS technique, but how to accurately and efficiently …

In this paper, we propose a WiFi/pedestrian dead reckoning (PDR)-integrated localization
approach based on unscented Kalman filters (UKF). The UKF integrating WiFi localization …

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 …

Sensor fusion frameworks for indoor localization are developed with the specific goal of
reducing positioning errors. Although many conventional localization frameworks without …

Nowadays, a growing number of ubiquitous mobile applications has increased the interest
in indoor location-based services. Some indoor localization solutions for smartphones …

Location-based services (LBS) are services offered through a mobile device that take into
account a device's geographical location. To provide position information for these services …

A popular approach for solving the indoor dynamic localization problem based on WiFi
measurements consists of using particle filtering. However, a drawback of this approach is …

Smartphone-based indoor localization has attracted considerable attentions in both
research and industrial areas. However, the localization accuracy and robustness are still …