Mahir Gulzar

GC-GAT: Multimodal Vehicular Trajectory Prediction Using Graph Goal Conditioning and Cross-Context Attention

Predicting future trajectories of surrounding vehicles heavily relies on what contextual information is given to a motion prediction model. The context itself can be static (lanes, regulatory elements, etc) or dynamic (traffic participants). This paper presents a lane graph-based motion prediction m