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Document type:
Konferenzbeitrag 
Contribution type:
Textbeitrag / Aufsatz 
Author(s):
Frederik Diehl, Thomas Brunner, Michael Truong Le, Alois Knoll 
Title:
Graph Neural Networks for Modelling Traffic Participant Interaction 
Abstract:
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. We evaluate two state-of-the art GNN architectures and introduce several adaptations for our specific scenario. We show that prediction error in scenarios wi...    »
 
Book / Congress title:
IEEE Intelligent Vehicles Symposium 2019 
Year:
2019 
Month:
Jun