AI RESEARCH
Beyond Chamfer Distance: Granular Order-aware Evaluation Metric For Online Mapping
arXiv CS.CV
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ArXi:2605.22578v1 Announce Type: new Online map estimation is a crucial component of autonomous driving systems that reduces the reliance on costly high-definition maps. State-of-the-art (SOTA) methods commonly predict map elements as ordered sequences of points that form polylines and polygons. The evaluation of these methods relies predominantly on mean average precision (mAP) based on thresholded Chamfer distance (