Wi-Fi positioning has drawn great attention in the field of indoor positioning, due to its low
cost, easy deployment, and large positioning range. However, the Wi-Fi signal is highly …

Map matching is a fundamental component for location-based services (LBSs), such as
vehicle mobility analysis, navigation services, traffic scheduling, etc. In this paper, we …

We present a neural network for mitigating pseudoranges errors to improve localization
performance with data collected from mobile phones. A satellite-wise Multilayer Perceptron …

LoRa, as a representative Low-Power Wide-Area Network (LPWAN) technology, holds
tremendous potential for various city and industrial applications. However, as there are few …

The term “indoor navigation system” pertains to a technological or practical approach that
facilitates the navigation and orientation of individuals within indoor settings, such as …

Map matching aims to align GPS trajectories to their actual travel routes on a road network,
which is an essential pre-processing task for most of trajectory-based applications. Many …

5G's large bandwidths and ubiquity make it a promising candidate for catalyzing future
mobile services (emergency, V2X, XR, etc.) that benefit from accurate positioning over a …

Visible Light Positioning (VLP), a promising indoor positioning technique, has gained wide
popularity worldwide because of its ubiquitous infrastructure, low power consumption, and …

This paper presents a learning-based control policy design for point-to-point vehicle
positioning in the urban environment via BeiDou navigation. While navigating in urban …

This poster introduces an Augmented Reality (AR)-assisted framework to help exclude Non-
Line-of-Sight (NLOS) signals from the Global Navigation Satellite Systems (GNSS). We …