Generative Diffusion Scenario Mutation
Controllable conditional diffusion models altering weather precipitation, pedestrian trajectories, and adversarial vehicle cut-ins around recorded incidents.
Semantic Topology Invariance Constraints
Graph neural network verifiers reject physically implausible diffusion mutations, enforcing lane boundary constraints and friction coefficient maximums.
- 10,000 synthetic permutations generated per real-world incident.
- Dynamic lighting, precipitation, and road condition randomization.
- Identification of narrow edge-case failure envelopes.
- Automated export to Carla and Unreal Engine simulation pipelines.
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