The motion intentions and future trajectories of traffic participants have great influences on
the decision-making and path planning processes of autonomous vehicles. Lane change …

Autonomy is becoming more alluring in today's world due to its applications in various fields
such as defense, transportation and exploration of unknown terrain. Autonomy in …

Vehicle trajectory prediction can provide important support for intelligent transportation
systems in areas such as autonomous driving, traffic control, and traffic flow optimization …

Advanced Driver Assistance Systems have been shown to greatly improve road safety.
However, existing systems are typically reactive with an inability to understand complex …

Accurately predicting future behaviors of surrounding vehicles is an essential capability for
autonomous vehicles in order to plan safe and feasible trajectories. The behaviors of others …

To improve both efficiency and safety of automatic driving in complex traffic scenarios,
autonomous vehicles need to have the ability to predict the future trajectories of vehicles …

Forecasting the motion of surrounding vehicles is a key issue for autonomous vehicles to
assess potential risks and avoid collisions. Among them, the sharp lane change of vehicle in …

In recent years, automatic vehicle identification (AVI) systems have rapidly developed in
many countries, which provides an excellent opportunity to understand drivers' mobility …

Despite the advancements in the technologies of autonomous driving, it is still challenging to
study the safety of a self-driving vehicle. Trajectory prediction is one core function of an …

Integrating trajectory prediction to the decision-making and planning modules of modular
autonomous driving systems is expected to improve the safety and efficiency of self-driving …