Abstract Global Navigation Satellite Systems (GNSS)-based positioning plays a crucial role
in various applications, including navigation, transportation, logistics, map**, and …

Integrity monitoring is a key criterion for achieving robust and safe navigation systems.
Although traditional statistical methods perform well under good signal conditions, they …

Global navigation satellite system (GNSS) positioning accuracy is degraded in urban
canyons due to signal blockages and reflections, which is still a major challenge. Recently …

Smartphone positioning based on global navigation satellite systems is crucial for various
applications, including navigation, emergency response, and augmented and virtual reality …

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

At present, intelligent transportation systems (ITS) is increasingly relying on smartphone
positioning, and its accuracy and availability may affect the quality of ITS services. To …

Obtaining high-accuracy vehicle localization is essential for safe navigation in automated
vehicles, however, complex urban environments result in inaccurate positioning because of …

High-precision global navigation satellite system (GNSS) positioning for automatic driving in
urban environments remains an unsolved problem because of the impact of multipath …

In dynamic and complex environments, the positioning accuracy of global navigation
satellite system (GNSS) will be seriously reduced. Deep reinforcement learning (DRL) has …

Over the past few years, a myriad of journal and conference papers have been written about
the topic of Global Navigation Satellite System (GNSS) smartphone precision positioning …