Motion prediction is crucial for autonomous driving systems to understand complex driving
scenarios and make informed decisions. However, this task is challenging due to the diverse …

Automated driving has the potential to revolutionize personal, public, and freight mobility.
Besides the enormous challenge of perception, ie accurately perceiving the environment …

Motion forecasting is a key module in an autonomous driving system. Due to the
heterogeneous nature of multi-sourced input, multimodality in agent behavior, and low …

The real-world deployment of an autonomous driving system requires its components to run
on-board and in real-time, including the motion prediction module that predicts the future …

The task of motion forecasting is critical for self-driving vehicles (SDV s) to be able to plan a
safe maneuver. Towards this goal, modern approaches reason about the map, the agents' …

Predicting the future motion of road participants is crucial for autonomous driving but is
extremely challenging due to staggering motion uncertainty. Recently, most motion …

Motion Prediction (MP) of multiple surrounding agents in physical environments, and
accurate trajectory forecasting, is a crucial task for Autonomous Driving Stacks (ADS) and …

Autonomous driving vehicles can effectively improve traffic conditions and promote the
development of intelligent transportation systems. An autonomous vehicle can be divided …

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

Motion forecasting plays a crucial role in autonomous driving, with the aim of predicting the
future reasonable motions of traffic agents. Most existing methods mainly model the …