Fingerprint-based localization relies on an accurate and up-to-date radio map, which is
however cumbersome to obtain. In this paper, a novel scheme is proposed to online adapt …

The Internet of Things (IoT) has gradually changed the way of people's lives due to its ability
of connecting everything together, and meanwhile the accurate location sensing plays a …

This paper deals with a key problem in WiFi fingerprint-based localization, namely how to
sample a sufficient number of received signal strength (RSS) measurements during an …

The radio map built during the offline phase of any WiFi fingerprint-based localization
system usually scales with the number of WiFi access points (APs) that can be detected at a …

The search for a unique and globally available location solution has attracted researchers
for a long time. However, a solution for indoor scenarios, where high accuracy is needed …

Existing RF-based human pose estimation methods usually require intensive computations
and cannot meet the real-time processing and portability requirements for mobile devices …

This paper introduces a novel framework, ie, RFPose-OT, to enable three-dimensional (3D)
human pose estimation from radio frequency (RF) signals. Different from existing methods …

In recent years, because of the growing demand for location based services in indoor
environment and development of Wi-Fi, fingerprint-based indoor localization has attracted …

In the past two years, calls for developing synergistic links between the two worlds of
vehicular ad-hoc networks (VANETs) and autonomous vehicles have significantly gone up …

The rise concern about mobile communication performance has driven the growing demand
for the construction of mobile network signal maps which are widely utilized in network …