AI RESEARCH

GeoReFormer: Geometry-Aware Refinement for Lane Segment Detection and Topology Reasoning

arXiv CS.CV

ArXi:2603.26018v1 Announce Type: new Accurate 3D lane segment detection and topology reasoning are critical for structured online map construction in autonomous driving. Recent transformer-based approaches formulate this task as query-based set prediction, yet largely inherit decoder designs originally developed for compact object detection. However, lane segments are continuous polylines embedded in directed graphs, and generic query initialization and unconstrained refinement do not explicitly encode this geometric and relational structure.