In the literature, the intensive research effort has been made on the trajectory planning for
autonomous vehicles, while the integration of the trajectory planner with the trajectory …

Traditional decoupling trajectory planning strategy deals with complex urban road scenes
with many shortcomings, such as stereotyped behavior and poor trajectory quality. Aiming at …

Autonomous driving is one of the promising technologies to tackle traffic accident and
congestion problems nowadays. Even though an autonomous vehicle is operated without …

This paper focuses on the real-time trajectory planning problem for autonomous vehicles
driving in realistic urban environments. To solve the complex navigation problem, we adopt …

Trajectory planning is one of the most complex tasks that should be accomplished in order to
ensure vehicle autonomous driving. Trajectory planning can be classified into local and …

This paper proposes an optimized trajectory planner and motion planner framework, which
aim to deal with obstacle avoidance along a reference road for autonomous driving in …

This study proposes a new integrated approach to the motion control of autonomous
vehicles, which differs from the conventional method of treating planning and tracking tasks …

In the field of path planning for autonomous vehicle, the existing studies separately consider
the path planning and path tracking problem. To fill in this research gap, this study proposes …

Vehicles are highly coupled and multi-degree nonlinear systems. The establishment of an
appropriate vehicle dynamical model is the basis of motion planning for autonomous …

Efficient trajectory planning for intelligent vehicles in dynamic environments is a non-trivial
task due to the diversity and complexity of driving scenarios. It requires the planner to be …