E² uses transport-regularized sparse control on learned reverse-time SDEs with topology-driven selection and Topological Anchoring to generate realistic adversarial scenarios, improving collision discovery by 9.01% on nuScenes and up to 21.43% on nuPlan while enabling closed-loop robustness gains.
Language conditioned traffic generation
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AccidentSim creates videos of car collisions with physically accurate trajectories by simulating data from accident reports, fine-tuning an LM on those trajectories, and rendering with NeRF.
A conditional flow matching model generates realistic safety-critical traffic scenarios by turning nominal scenes into dangerous rollouts using combined simulation and real data.
Framework uses LLMs for few-shot CARLA scenario code generation focused on collisions, followed by Cosmos-Transfer1 with ControlNet to produce realistic safety-critical driving videos.
citing papers explorer
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Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles
E² uses transport-regularized sparse control on learned reverse-time SDEs with topology-driven selection and Topological Anchoring to generate realistic adversarial scenarios, improving collision discovery by 9.01% on nuScenes and up to 21.43% on nuPlan while enabling closed-loop robustness gains.
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AccidentSim: Generating Vehicle Collision Videos with Physically Realistic Collision Trajectories from Real-World Accident Reports
AccidentSim creates videos of car collisions with physically accurate trajectories by simulating data from accident reports, fine-tuning an LM on those trajectories, and rendering with NeRF.
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Conditional Flow-VAE for Safety-Critical Traffic Scenario Generation
A conditional flow matching model generates realistic safety-critical traffic scenarios by turning nominal scenes into dangerous rollouts using combined simulation and real data.
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LLM-based Realistic Safety-Critical Driving Video Generation
Framework uses LLMs for few-shot CARLA scenario code generation focused on collisions, followed by Cosmos-Transfer1 with ControlNet to produce realistic safety-critical driving videos.