SGVF uses score-based generative models to create guiding vector fields from data distributions, enabling reliable robotic path following on complex, unordered, and branching topologies where classical methods fail.
Hierarchically depicting vehicle tra- jectory with stability in complex environments,
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Guiding Vector Field Generation via Score-based Diffusion Model
SGVF uses score-based generative models to create guiding vector fields from data distributions, enabling reliable robotic path following on complex, unordered, and branching topologies where classical methods fail.