Purpose For autonomous vehicles, trajectory prediction of surrounding vehicles is beneficial
to improving the situational awareness of dynamic and stochastic traffic environments, which …

Understanding the probabilistic traffic environment is a vital challenge for the motion
planning of autonomous vehicles. To make feasible control decisions, forecasting future …

Vehicle collision avoidance system (CAS) is a control system that can guide the vehicle into
a collision-free safe region in the presence of other objects on road. Common CAS …

Conventional layered planning architecture temporally partitions the spatiotemporal motion
planning by the path and speed, which is not suitable for lane change and overtaking …

It is important for autonomous vehicles to plan at the unsignalized intersection due to the
uncertainty of visible vehicles and phantom vehicles in the blind zone. This paper proposes …

Decision-making in dense traffic scenarios is challenging for automated vehicles (AVs) due
to potentially stochastic behaviors of other traffic participants and perception uncertainties …

Maneuver planning, which plays a key role in selecting desired lanes and speeds, is an
essential element of autonomous driving. Generally, for a vehicle driving on a multilane …

Generating safe, smooth, and efficient trajectories is a fundamental and difficult task for
multiple unmanned ground vehicles (MUGVs) in unstructured narrow interaction scenarios …

In complex driving scenarios, automated vehicles should behave reasonably and respond
adaptively with high computational efficiency. In this paper, a computational efficient motion …

Trajectory planning is one of the key challenges to enable automated driving system on the
road. In structured highway environment, lane change trajectory planning algorithm for …