… predict the trajectory of surrounding vehicles is a critical hurdle to overcome on the journey
to fully autonomous vehicles… a novel behavior-aware trajectory prediction model (BAT) that …

… network architecture named F-Net to deal with vehicle trajectory prediction on highway and
urban scenarios in autonomous driving applications. The novelty of the proposed method is …

… used in the current autonomous driving system. And based on the perspective of the
autonomous vehicle sensors, we propose to predict the trajectories of all the surrounding vehicles …

… connected autonomous vehicles. It provides a method to model the leading-following vehicle
… In this study, a joint time-series modeling approach for leading vehicle trajectory prediction …

… autonomous vehicles in complex traffic scenes. To accurately predict the trajectory of autonomous
vehicles… memory (LSTM) self-trajectory prediction method for autonomous driving. The …

… the accurate prediction of surrounding vehicles with the LSTM … velocity/trajectory prediction
of surrounding vehicles based … calculated based on the trajectory prediction of LSTM for risk …

… .) are equipped in autonomous vehicles, we propose a crossmodal embedding framework
that demonstrates the efficacy of the use of multiple sensor data for motion prediction. Figure 1 …

… To ensure safe operations of autonomous vehicles, their … and predict their future locations
so that autonomous vehicles … object trajectory prediction scheme for autonomous driving cars…

… Abstract—Trajectory prediction plays a crucial role in the autonomous driving stack by
enabling autonomous vehicles to anticipate the motion of surrounding agents. Goal-based …

… (specific positions and associated target velocities) for the autonomous vehicle to follow from
a start waypoint to a goal waypoint [2]. The control subsystem refers to the ability to execute …