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

Autonomous driving in unstructured environments is crucial for various applications,
including agriculture, military, and mining. However, research in unstructured environments …

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 …

This paper presents a regenerative braking logic that aims to maximize the recovery of
energy during braking without compromising the stability of the vehicle. This model of …

Hydraulic actuators convert fluid pressure into mechanical motion. They are widely used in
many industrial and aerospace applications due to their reliability, high speed, high force …

The vehicle dynamic state is essential for stability control and decision-making of intelligent
vehicles. However, these states cannot usually be measured directly and need to be …

Tire slip control is one of the most critical topics in vehicle dynamics control, being the basis
of systems such the Anti-lock Braking System (ABS), Traction Control System (TCS) or …

Diverse passengers have various driving habits and driving preferences, thus the function of
personalized driving is one of the most important features for autonomous vehicles (AVs). In …

Accurate tire-road friction coefficient (TRFC) is crucial for enhancing both the motion
performance and safety of vehicles. In this article, a model-based learning approach …

Accurate information on tire road friction coefficient (TRFC) is essential to autonomous
driving systems. In this paper, a fault-tolerant estimation scheme is proposed to estimate …