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Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows
In this context, normalizing flows originating from the field of variational inference are considered for the generation of sampling distributions, as they model transformations of simple to more complex distributions.
Transfer Learning Study of Motion Transformer-based Trajectory Predictions
Trajectory planning in autonomous driving is highly dependent on predicting the emergent behavior of other road users.
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