CNeVA combines variational behavior latents with rectified-flow generators and soft eligibility to deliver controllable yet realistic traffic simulation on Waymo data.
Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying
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UNVERDICTED 2representative citing papers
DriveAnchor improves collision avoidance in autonomous driving planning via a three-stage anchor-based flow pipeline with pretraining on trajectory vocabulary, energy field post-training, and reward-refined fine-tuning.
citing papers explorer
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Controllable Sim Agents with Behavior Latents
CNeVA combines variational behavior latents with rectified-flow generators and soft eligibility to deliver controllable yet realistic traffic simulation on Waymo data.
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DriveAnchor: Progressive Anchor-based Flow Learning for Autonomous Driving Planning
DriveAnchor improves collision avoidance in autonomous driving planning via a three-stage anchor-based flow pipeline with pretraining on trajectory vocabulary, energy field post-training, and reward-refined fine-tuning.