AI RESEARCH
MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting
arXiv CS.AI
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ArXi:2604.21489v1 Announce Type: cross Multi-modal trajectory generation is essential for safe autonomous driving, yet existing diffusion-based planners suffer from high inference latency due to iterative neural function evaluations. This paper presents MISTY (Mixer-based Inference for Single-step Trajectory-drifting Yield), a high-throughput generative motion planner that achieves state-of-the-art closed-loop performance with pure single-step inference.