Kalman filter is a commonly used method in the Global Navigation Satellite System
(GNSS)/Inertial Navigation System (INS) integrated navigation system, in which the process …

One of the main challenges in developing autonomous transport systems based on
connected and automated vehicles is the comprehension and understanding of the …

Uncertainty modeling and bounding are of vital importance for high-integrity GNSS
applications. Classical approaches are mostly developed in a stochastic manner with …

Owing to the inter-vehicle non-line-of-sight (NLOS) measurement and malicious attack in
global navigation satellite system (GNSS) challenged environment, the vehicle position …

The Global Navigation Satellite System (GNSS) has gained widespread use in
smartphones, providing support for various pedestrian applications. In urban areas …

Lane departure is one of the important reasons for traffic accidents on a two-lane highway.
However, the vehicles' trajectories obtained by the traditional methods only represent wheel …

The set-membership information fusion problem is studied for general multi-sensor dynamic
systems. Based on set-membership theory, three centralized state fusion estimation …

Integrity monitoring is of great importance for Global Navigation Satellite Systems (GNSS)
applications. Unlike classical approaches based on probabilistic assumptions, the …

In this letter, we study the localization problem of a mobile robot with range measurement
from a single beacon. Previous filtering-based studies usually required accurate statistics of …

Time difference of arrival (TDOA) positioning results obtained using commonly adopted
algebraic methods lack uncertainty information. In this letter, we propose to incorporate …