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SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries
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SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries Wei-Jer Chang 1 , Francesco Pittaluga 2 , Masayoshi Tomizuka 1 , Wei Zhan 1 , Manmohan Chandraker 2,3 1 University of California Berkeley, 2 NEC Labs America, 3 University of California San Diego Paper arXiv Code ECCV 2024 We will realease the inference code soon. Abstract Evaluating the performance of autonomous vehicle planning algorithms necessitates simulating long-tail safety-critical traffic scenarios. However, traditional methods for generating such scenarios often fall short in terms of controllability and realism; they also neglect the dynamics of agent interactions. To address these limitations, we introduce SAFE-SIM, a novel diffusion-based controllable closed-loop safety-critical simulation framewo...
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