2023
SCENE: Reasoning About Traffic Scenes Using Heterogeneous Graph Neural Networks
RA-L 2023
Understanding traffic scenes requires considering heterogeneous information about dynamic agents and the static infrastructure. In this work we propose SCENE, a methodology to encode diverse traffic scenes in heterogeneous graphs and to reason about these graphs using a heterogeneous Graph Neural Ne