A WGAN-based generator uses pretrained autoencoders to decouple geometry and timing in roundabout scenarios and modulates interaction intensity via a scaled yield code.
Data generation for connected and automated vehicle tests using deep learning models,
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Scenario Generation in Roundabouts with Adjustable Interaction Intensity
A WGAN-based generator uses pretrained autoencoders to decouple geometry and timing in roundabout scenarios and modulates interaction intensity via a scaled yield code.