Location-based services are now playing an integral role in the development of emerging
industries, such as the Internet of Things, artificial intelligence and smart cities. Although …

Recent studies on indoor positioning using Wi-Fi fingerprinting are motivated by the ubiquity
of Wi-Fi networks and their promising positioning accuracy. Machine learning algorithms are …

This work presents the CODEUS platform, which includes a simulation tool together with an
online experimental demonstrator to offer analysis and testing flexibility for researchers and …

Wireless localization method can take advantage of the existing Wi-Fi infrastructures to
obtain indoor position information. However, an essential wireless localization bottleneck is …

Detecting and tracking the position of multiple targets indoors is a challenging measurement
problem due to the inherent difficulty to cluster correctly the sensor data associated to a …

Indoor positioning systems (IPS) based on Wi-Fi fingerprinting have gained significant
attention due to their potential for providing location-based services. Large scale IPS …

With the recent introduction of NarrowBand Internet of Things (NB-IoT) technology in the 4th
and 5th generations of mobile radio networks, the mobile communications context opens up …

Aiming at the nonlinear filter problem in Ultra Wide Band (UWB) navigation and position, a
high-order Unscented Kalman Filter (UKF) position method is proposed. On the one hand …

abstract Indoor positioning systems (IPS) based on Wi-Fi fingerprinting have gained
significant attention due to their potential for providing location-based services. Large scale …

Spatial data refers to positions, distances, objects, and the relationship between them in the
earth's space, while temporal is the time dimension such as hours, days, dates, months, etc …