Predicting the future states of surrounding traffic participants and planning a safe, smooth,
and socially compliant trajectory accordingly are crucial for autonomous vehicles (AVs) …

Path planning is a key component in motion planning for autonomous vehicles. A path
specifies the geometrical shape that the vehicle will travel, thus, it is critical to safe and …

Efficient intersection planning is one of the most challenging tasks for an autonomous
vehicle at present. Politeness to other traffic participants and reaction to surrounding …

Autonomous vehicles are an essential tool for promoting the development of intelligent
transportation systems (ITS) and can effectively reduce traffic accidents caused by human …

Aiming for further improvement in ride comfort, a novel integrated system combining preview
active suspension control with longitudinal velocity planning based on road height …

Safety-guaranteed motion planning is critical for self-driving cars to generate collision-free
trajectories. A layered motion planning approach with decoupled path and speed planning …

This paper presents an optimization-based collision avoidance trajectory generation method
for autonomous driving in free-space environments, with enhanced robustness, driving …

To efficiently generate safe trajectories for an autonomous vehicle in dynamic environments,
a layered motion planning method with decoupled path and speed planning is widely used …

Scenario vehicles are an important part of the dynamic environment utilized in autonomous-
driving simulations. They are required to meet the demands of traffic-scenario diversity and …

In urban driving scenarios, it is a key component for autonomous vehicles to generate a
smooth, kinodynamically feasible, and collision-free path. We present an optimization-based …