AI RESEARCH
Infrastructure-Centric World Models: Bridging Temporal Depth and Spatial Breadth for Roadside Perception
arXiv CS.CV
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ArXi:2604.17651v1 Announce Type: new World models, generative AI systems that simulate how environments evolve, are transforming autonomous driving, yet all existing approaches adopt an ego-vehicle perspective, leaving the infrastructure viewpoint unexplored. We argue that infrastructure-centric world models offer a fundamentally complementary capability: the bird's-eye, multi-sensor, persistent viewpoint that roadside systems uniquely possess.