Adding bidirectional vector and raster consistency losses to HD map training improves mAP and temporal consistency across several baselines on nuScenes and Argoverse 2.
Vad: Vectorized scene representation for efficient autonomous driving,
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MapTCL: Temporal Consistency Learning via Bidirectional Alignment for Vectorized HD Map Construction
Adding bidirectional vector and raster consistency losses to HD map training improves mAP and temporal consistency across several baselines on nuScenes and Argoverse 2.