A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction
Yutong Ban,Xiao Li,Guy Rosman,Igor Gilitschenski,Ozanan Meireles,Sertac Karaman,Daniela Rus,Yutong Ban,Xiao Li,Guy Rosman,Igor Gilitschenski,Ozanan Meireles,Sertac Karaman,Daniela Rus
Temporal patterns (how vehicles behave in our observed past) underline our reasoning of how people drive on the road, and can explain why we make certain predictions about interactions among road agents. In this paper we propose the ConceptNet trajectory predictor - a novel prediction framework that is able to incorporate agent interactions as explicit edges in a temporal knowledge graph. We demon...
