Intersections are quite important and complex traffic scenarios, where the future motion of
surrounding vehicles is an indispensable reference factor for the decision-making or path …

In mixed and dynamic traffic environments, accurate long-term trajectory forecasting of
surrounding vehicles is one of the indispensable preconditions for autonomous vehicles to …

Self-driving vehicles need to continuously analyse the driving scene, understand the
behavior of other road users and predict their future trajectories in order to plan a safe …

Accurate trajectory prediction of surrounding vehicles is important for automated vehicles. To
solve several existing problems of maneuver-based trajectory prediction, we propose four …

As autonomous vehicles (AVs) need to interact with other road users, it is of importance to
comprehensively understand the dynamic traffic environment, especially the future possible …

At an intersection with complex traffic flow, the early detection of the intention of drivers in
surrounding vehicles can enable advanced driver assistance systems (ADAS) to warn the …

The long short-term memory (LSTM) model is one of the most commonly used vehicle
trajectory predicting models. In this paper, we study two problems of the existing LSTM …

For driving safely and comfortably, the long-term trajectory prediction of surrounding
vehicles is essential for autonomous vehicles. For handling the uncertain nature of trajectory …

Vehicle-trajectory prediction is essential for intelligent traffic systems (ITS), as it can help
autonomous vehicles to plan a safe and efficient path. However, it is still a challenging task …

Navigating a car at intersections is one of the most challenging parts of urban driving.
Successful navigation needs predicting of intention of other traffic participants at the …