GaussianMap learns adaptive Gaussian primitives on the BEV plane from multi-sensor data to produce vectorized HD maps, reporting state-of-the-art results on nuScenes and Argoverse 2.
Pivotnet: Vectorized pivot learning for end-to-end hd map construction
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 2verdicts
UNVERDICTED 2representative citing papers
MapRF reaches about 75% of fully supervised HD map accuracy on Argoverse 2 and nuScenes by generating view-consistent pseudo labels via a NeRF conditioned on map predictions and refining them with Map-to-Ray Matching in self-training.
citing papers explorer
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GaussianMap: Learning Gaussian Representation for Multi-Sensor Online HD Map Construction
GaussianMap learns adaptive Gaussian primitives on the BEV plane from multi-sensor data to produce vectorized HD maps, reporting state-of-the-art results on nuScenes and Argoverse 2.
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MapRF: Weakly Supervised Online HD Map Construction via NeRF-Guided Self-Training
MapRF reaches about 75% of fully supervised HD map accuracy on Argoverse 2 and nuScenes by generating view-consistent pseudo labels via a NeRF conditioned on map predictions and refining them with Map-to-Ray Matching in self-training.