AI RESEARCH
GSMap: 2D Gaussians for Online HD Mapping
arXiv CS.CV
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ArXi:2605.09619v1 Announce Type: new Accurate High-Definition (HD) map construction is critical for autonomous driving, yet existing methods face a fundamental trade-off: vectorization-based approaches preserve topology but struggle with geometric fidelity, while rasterization-based approaches enable precise geometric supervision but produce unstructured outputs. To bridge this gap, we propose GSMap, a novel framework that unifies both paradigms via a learnable 2D Gaussian representation.