Improving Indoor Positioning With Adaptive Noise Modeling

Improving Indoor Positioning Via Mobile Sensing

Accurate indoor position and movement information of devices enables numerous opportunities for location based services. GPS provides accurate localization results in an outdoor environment, however, GPS cannot be applied indoors pervasively due to the various interferences. Although extensive research has been dedicated to this field, accurate indoor location information remains a challenge wi...

Improving positioning capabilities for indoor environments with WiFi

A framework for positioning and tracking problems in indoor environments using particle filters has been developed and applied to a WLAN location determination technique. The use of Kalman filter or particle filtering represents an interesting way to handle the variations of the signal strength measurements. The second one, being more generic, can also aggregate in a simple way different inform...

Indoor Positioning with Uwb Technology

Improving RSS-Based Indoor Positioning Algorithm via K-Means Clustering

Advances in mobile technologies and devices has changed the way users interact with devices and other users. These new interaction methods and services are offered by the help of intelligent sensing capabilities, using context, location and motion sensors. However, indoor location sensing is mostly achieved by utilizing radio signal (Wi-Fi, Bluetooth, GSM etc.) and nearest neighbor identificati...

Improving the Vertical Accuracy of Indoor Positioning for Emergency Communication

The emergency communication systems are undergoing a transition from the PSTN-based legacy system to an IP-based next generation system. In the next generation system, GPS accurately provides a user’s location when the user makes an emergency call outdoors using a mobile phone. Indoor positioning, however, presents a challenge because GPS does not generally work indoors. Moreover, unlike outdoo...