Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …

The indoor positioning system (IPS) is becoming increasing important in accurately
determining the locations of objects by the utilization of micro-electro-mechanical-systems …

In the recent past, we have witnessed the adoption of different machine learning techniques
for indoor positioning applications using WiFi, Bluetooth and other technologies. The …

Fingerprint-based wireless indoor positioning approaches are widely used for location-
based services because wireless signals, such as Wi-Fi and Bluetooth, are currently …

In GPS-denied indoor environments, localization and tracking of people can be achieved
with a mobile device such as a smartphone by processing the received signal strength …

Indoor map is a fundamental element of indoor location-based services (ILBS). However,
traditional indoor mapping techniques are labor-intensive and time-consuming. The …

In the indoor environment, the activity of the pedestrian can reflect some semantic
information. These activities can be used as the landmarks for indoor localization. In this …

In recent years, crowdsourcing approaches have been proposed to record the WiFi signals
annotated with the location of the reference points (RPs) extracted from the trajectories of …

Seamless outdoor-indoor positioning plays a critical role in many emerging applications, eg,
large-coverage user navigation in cities, smart buildings, and analytics of user spatial …

Indoor wireless localization toward the next generation Wi-Fi access point has attracted
considerable attention due to the presentation of the state-of-art Wi-Fi fine time …