Real-time, accurate, and robust localisation is critical for autonomous vehicles (AVs) to
achieve safe, efficient driving, whilst real-time performance is essential for AVs to achieve …

In the development of automotive electronics, nearly every automobile is equipped with an
inertial measurement unit (IMU). However, the yaw misalignment of the IMU is inevitable …

Currently, data sharing for the Internet of Vehicles (IoV) applications has drawn much
attention in the framework of developing smart cities and smart transportation. A critical …

The Internet of Things (IoT) infrastructure, systems, and applications demonstrate potential in
serving smart city development. Crowdsensing approaches for road surface conditions …

The vehicle localization, which aims to identify a vehicle and then position the vehicle with a
high precision, can be used to facilitate various applications and services in vehicular …

We address the problem of localization in vehicular ad hoc networks. Our goal is to leverage
vehicle communications and smartphone sensors to improve the overall localization …

GPS has been commonly used for vehicle localization. However, since GPS signals are very
sensitive to terrain and interference, they may become unavailable in places such as lower …

For radio-based time-of-arrival (TOA) positioning systems applied in harsh environments,
obstacles in the surroundings and on the vehicle itself will block the signals from the …

This paper proposes a novel vehicle state estimation (VSE) method that combines a physics-
informed neural network (PINN) and an unscented Kalman filter on manifolds (UKF-M). This …

In autonomous vehicle navigation, it usually involves a basic process of estimating the
vehicle pose at one instant relative to the vehicle pose at a previous instant, and we refer to …