From Fragments to Global Maps: Learning Vectorized Map Aggregation with Large Language Models
arXiv:2610.02513v1 Announce Type: new Abstract: Large-scale vectorized HD maps provide structured road information that is essential for perception, localization, and planning in autonomous driving. Constructing such maps requires aggregating noisy, fragmented, and overlapping local predictions col…
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- 2026-10-05 04:00 · arXiv cs.CV
From Fragments to Global Maps: Learning Vectorized Map Aggregation with Large Language Models