MapGCLR applies geospatial contrastive learning on multi-traversal overlapping data to enhance BEV representations for vectorized online HD map construction and reports better performance than supervised baselines in a semi-supervised setup.
Lanelet2: A high-definition map framework for the future of automated driving,
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MapGCLR: Geospatial Contrastive Learning of Representations for Online Vectorized HD Map Construction
MapGCLR applies geospatial contrastive learning on multi-traversal overlapping data to enhance BEV representations for vectorized online HD map construction and reports better performance than supervised baselines in a semi-supervised setup.