RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation 事件

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation arXiv:2606.06423v1 Announce Type: cross Abstract: Safety-critical traffic scenario generation is essential for evaluating autonomous driving systems under rare but high-risk interactions. Existing diffusion-based methods offer strong controllability in closed-loop generation, but their iterative denoising process is computationally expensive and may accumulate sampling and guidance errors over long rollouts, causing unreali