To address the safety and efficiency issues of vehicles at multi-lane merging zones, a
cooperative decision-making framework is designed for connected automated vehicles …

To improve the safety and efficiency of the intelligent transportation system, particularly in
complex urban scenarios, in this paper a game theoretic decision-making framework is …

Decision and control are core functionalities of high-level automated vehicles. Current
mainstream methods, such as functional decomposition and end-to-end reinforcement …

In the context of autonomous driving, the iterative linear quadratic regulator (iLQR) is known
to be an efficient approach to deal with the nonlinear vehicle model in motion planning …

Trajectory planning is one of the indispensable and critical components in robotics and
autonomous systems. As an efficient indirect method to deal with the nonlinear system …

In the area of autonomous driving, it typically brings great difficulty in solving the motion
planning problem since the vehicle model is nonlinear and the driving scenarios are …

To ensure the safety of autonomous Multi-rotor UAVs flying in urban airspace, they should
be capable of avoiding collisions with unpredictable dynamic obstacles, such as birds. UAVs …

Autonomous shipping has been identified as the way forward in the maritime transport.
However, the time-optimal path planning, anti-disturbance trajectory tracking and obstacle …

To address the coordination issue of connected automated vehicles (CAVs) at urban
scenarios, a game-theoretic decision-making framework is proposed that can advance …

This paper investigates the cooperative planning and control problem for multiple connected
autonomous vehicles (CAVs) in different scenarios. In the existing literature, most of the …