C-TRAIL combines LLM commonsense with a dual-trust mechanism and Dirichlet-weighted Monte Carlo Tree Search to improve trajectory planning accuracy and safety in autonomous driving.
The round dataset: A drone dataset of road user trajectories at roundabouts in germany
2 Pith papers cite this work. Polarity classification is still indexing.
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A WGAN-based generator uses pretrained autoencoders to decouple geometry and timing in roundabout scenarios and modulates interaction intensity via a scaled yield code.
citing papers explorer
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C-TRAIL: A Commonsense World Framework for Trajectory Planning in Autonomous Driving
C-TRAIL combines LLM commonsense with a dual-trust mechanism and Dirichlet-weighted Monte Carlo Tree Search to improve trajectory planning accuracy and safety in autonomous driving.
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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.