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[NeurIPS 2024 Datasets and Benchmarks Track] Closed-Loop E2E-AD Benchmark Enhanced by World Model RL Expert
Cosmos-Transfer1 is a world-to-world transfer model designed to bridge the perceptual divide between simulated and real-world environments.
Repo of "GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving"
Devkit and documentation for the NVIDIA Physical AI Autonomous Vehicles Dataset
[ICLR 2025] DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving