The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …

Indoor self-localization has become a highly desirable system function for smartphones. The
existing systems based on imaging, radio frequency, and geomagnetic sensing may have …

Existing wearable sensing models often struggle with domain shifts and class label scarcity.
Contrastive learning is a promising technique to address class label scarcity, which however …

Constructing precise 3D maps is crucial for the development of future map-based systems
such as self-driving and navigation. However, generating these maps in complex …

Visually impaired individuals often struggle to pinpoint their location in indoor settings,
hindering their ability to navigate independently. Current solutions, such as WiFi-based …

This paper presents recent findings on two novel mobile systems that leverage the acoustic
coupling between mobile devices and the physical environment. Firstly, an acoustic sensing …

Abstract The Internet of Things (IoT) is a global cyber network that consists of trillions of
smart objects, edge devices, fogs, and cloud computing systems. It is a fabrication of data …

The need to determine the location of individuals or objects in indoor environments has
become an essential requirement. The Global Navigation Satellite System, a predominant …

In today's world, accurate location sensing is impossible to think away. One of the most
prominent and most used techniques for determining location is GPS. In the outside world …