In the era of the Internet of Things (IoT) and Industry 4.0, the indoor usage of smart devices is
expected to increase, thereby making their location information more important. Based on …

Indoor navigation has remained an active research area for the last decade. Unlike outdoor
environments, indoor environments have additional challenges, such as weak signals, low …

Vision-based building scene understanding (BSU) is essential to many applications such as
indoor navigation and 3D reconstruction. Deep learning excels in various BSU tasks but its …

In previous studies, ranging errors in the line of sight (LOS) environment were often
overlooked, resulting in an increase in positioning errors. In non-line of sight (NLOS) …

Abstract Several Wireless Fidelity (WiFi) fingerprint datasets based on Received Signal
Strength (RSS) have been shared for indoor localization. However, they can't meet all the …

Metaverse seamlessly integrates the real world with the virtual world and allows avatars to
carry out rich activities including creation, display, entertainment, social, and trading. It …

Seamless positioning and navigation requires an integration of outdoor and indoor
positioning systems. Until recently, these systems mostly function in-silos. Though GNSS …

Positioning is an essential service for various applications and is expected to be integrated
with existing communication infrastructures in 5G and 6G. Though current Wi-Fi and cellular …

These recent years have witnessed the importance of indoor localization and tracking as
people are spending more time indoors, which facilitates determining the location of an …

Camera localization involves the estimation of the camera pose of an image from a random
scene. We used a single image or sequence of images or videos as the input. The output …