Self-driving vehicles will soon be a reality, as main automotive companies have announced
that they will sell their driving automation modes in the 2020s. This technology raises …

Planning and decision-making technology at intersections is a comprehensive research
problem in intelligent transportation systems due to the uncertainties caused by a variety of …

In this paper, we propose a progressive model predictive control scheme (PMPCS) by
considering the cooperative control of local planning and path tracking for intelligent …

Autonomy field, every vehicle is occupied with some kind or alter driver assist features in
order to compensate driver comfort. Expansion further to fully Autonomy is extremely …

Trajectory tracking control in the cut-in scenarios is challenging, since the autonomous
vehicles have to follow the reference trajectory and cooperate with the cut-in vehicles. This …

In emergency situations, autonomous vehicles will be forced to operate at their friction limits
in order to avoid collisions. In these scenarios, coordinating the planning of the vehicle's …

This paper presents a trajectory planning framework to deal with the highly dynamic
environments for on-road driving. The trajectory optimization problem with parameterized …

Different driving styles should be considered in path planning for autonomous vehicles that
are travelling alongside other traditional vehicles in the same traffic scene. Based on the …

A driving strategy for autonomous vehicles (AVs) that is consistent with human behavior
while demonstrating superior performance seems to have a good chance to be accepted by …

Minimum-lap-time optimal control problems (MLT-OCPs) are a popular tool to assess the
best lap time of a vehicle on a racetrack. However, MLT-OCPs with high-fidelity dynamic …