Autonomous vehicles must be able to understand the surrounding traffic flows and predict
the future traffic conditions for planning a safe maneuver. During prediction, the action of …

Autonomous vehicles must be able to understand the movements of surrounding vehicles
and predict how the future traffic conditions will be for planning a safe trajectory. During …

In this paper, we present an online two-level vehicle trajectory prediction framework for
urban autonomous driving where there are complex contextual factors, such as lane …

Reliable prediction for the future trajectories of the surrounding multi-class traffic participants
is critical for autonomous vehicles to drive safely and effectively in complex urban traffic. The …

Trajectory planning in the intersection is a challenging problem due to the strong uncertain
intentions of surrounding agents. Conventional methods may fail in some corner cases …

Implementation of safe and efficient autonomous driving systems requires accurate
prediction of the long-term trajectories of surrounding vehicles. High uncertainty in traffic …

Trajectory prediction has always been a challenging problem for autonomous driving, since
it needs to infer the latent intention from the behaviors and interactions from traffic …

Trajectory planning is one of the most important modules of the Autonomous Driving
Systems (ADSs), which aims to achieve a safe and comfortable interaction between the …

Autonomous driving is a challenging problem because the autonomous vehicle must
understand complex and dynamic environment. This understanding consists of predicting …

Predicting the trajectories of surrounding heterogeneous traffic agents is critical for the
decision making of an autonomous vehicle. Recently, many existing prediction methods …