Precise vehicle state and the surrounding traffic information are essential for decision-
making and dynamic control of intelligent connected vehicles. Tremendous research efforts …

Accurate knowledge about the motion state of preceding vehicles (PVs) contributes to the
optimization of planning and decision making of autonomous vehicles, which in turn further …

Drivers are being confronted by the task of controlling vehicles together with automation
systems before autonomous vehicles are even fully realized. A novel human-oriented online …

Dynamic information such as the position and velocity of the target detected by marine radar
is frequently susceptible to external measurement white noise generated by the oscillations …

Intelligent connected vehicles can perform better decision making and path planning tasks
when they obtain the accurate motion state of preceding vehicles. In this article, an event …

To alleviate the adverse effects of heterogeneous vehicular platoon (HVP) with uncertain
dynamics, a distributed data-driven model predictive control (DDMPC) strategy is proposed …

Longitudinal velocity, lateral velocity, and front wheel steering angle are crucial states for
vehicle active safety features. However, direct measurement of these variables requires …

Accurate and real-time acquisition of vehicular system dynamic states, road surface
conditions, and motion states of surrounding participants is crucial for the safety, passenger …

Accurate prediction of the motion state of the connected vehicles, especially the preceding
vehicle (PV), would effectively improve the decision-making and path planning of intelligent …

The LCL-type three-level grid-connected inverter is extensively employed in photovoltaic
(PV) power generation systems, which has multiple individually controlled objectives. To this …