In a complex traffic environment, predicting the trajectory of surrounding vehicles in the
driver's line of sight can greatly reduce the possibility of various traffic accidents and play an …

Urban road intersections are the most common complex tra c conditions, especially in
intersections without signal lights, when a right-of-way conflict occurs between vehicles, the …

Autonomous vehicles often need to predict the trajectories of surrounding vehicles for
planning and decision making. We propose a socially-aware long short-term memory …

Vehicle trajectory prediction is a key technology in autonomous driving, one of the aims of
which is to ensure the safety of vehicle travelling and lane changing. Especially in complex …

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

There are different types of traffic agents in urban scenes. Their movement behaviors
influence each other. Accu-rately predicting trajectories of these traffic agents contributes to …

In order to safely and efficiently drive through the complex traffic scenarios, predicting the
trajectory of the forward vehicle accurately is important for intelligent vehicles. Accurate and …

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 …

Predicting the future trajectory of a surrounding vehicle in congested traffic is one of the
necessary abilities of an autonomous vehicle. In congestion, a vehicle's future movement is …

The trajectory prediction is significant for the decision-making of autonomous driving
vehicles. In this paper, we propose a model to predict the trajectories of target agents around …