Scenario understanding and motion prediction are essential components for completely
replacing human drivers and for enabling highly and fully automated driving (SAE-Level …

Multi-agent interacting systems are prevalent in the world, from purely physical systems to
complicated social dynamic systems. In many applications, effective understanding of the …

Autonomous driving (AD) agents generate driving policies based on online perception
results, which are obtained at multiple levels of abstraction, eg, behavior planning, motion …

Effective understanding of the environment and accurate trajectory prediction of surrounding
dynamic obstacles are critical for intelligent systems such as autonomous vehicles and …

Obtaining accurate and diverse human motion prediction is essential to many industrial
applications, especially robotics and autonomous driving. Recent research has explored …

An effective understanding of the environment and accurate trajectory prediction of
surrounding dynamic obstacles are indispensable for intelligent mobile systems (eg …

An effective understanding of the contextual environment and accurate motion forecasting of
surrounding agents is crucial for the development of autonomous vehicles and social mobile …

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 …

Effective understanding of the environment and accurate trajectory prediction of surrounding
dynamic obstacles are indispensable for intelligent mobile systems (like autonomous …

Multi-agent trajectory prediction plays a crucial role in robotics and autonomous driving. The
current mainstream research focuses on how to achieve accurate prediction on one large …