GaussianMap: Learning Gaussian Representation for Multi-Sensor Online HD Map Construction

arXiv cs.CV1mo4 min read

arXiv:2606.31177v1 Announce Type: new Abstract: Autonomous driving systems benefit from high-definition (HD) maps that provide critical information about road infrastructure. The online construction of HD maps offers a scalable approach to generate local vectorized maps from onboard sensor observations. Existing methods commonly adopt bird's-eye-view (BEV) features as the intermediate scene representation, encoding the surrounding space with fixed-resolution dense grids. However, map elements are spatially sparse yet require fine-grained geometric localization, making uniformly allocated BEV r

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GaussianMap: Learning Gaussian Representation for Multi-Sensor Online HD Map Construction

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