Graph Neural Networks for Modelling Traffic Participant Interaction

4 Mar 2019Frederik DiehlThomas BrunnerMichael Truong LeAlois Knoll

By interpreting a traffic scene as a graph of interacting vehicles, we gain a flexible abstract representation which allows us to apply Graph Neural Network (GNN) models for traffic prediction. These naturally take interaction between traffic participants into account while being computationally efficient and providing large model capacity... (read more)

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