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Causal Composition Model for Traffic Simulation by rr8468mtxn is a document available to read on EtoBox.
Simulation is critical for safety evaluation in autonomous driving, particularly in capturing complex interactive behav- iors. However, generating realistic and controllable traffic scenarios in long-tail situations remains a significant chal- lenge. Existing generative models suffer from the conflicting objective between user-defined controllability and realism constraints, which is amplified in safety-critical contexts. In this work, we introduce the Causal Compositional Diffusion Model (CCDif
- Author
- rr8468mtxn
- Language
- EN