AI RESEARCH
GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection
arXiv CS.CV
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ArXi:2605.23327v1 Announce Type: new Lane detection stands as a crucial perception task in autonomous driving and advanced driver assistance systems. However, existing methods still degrade in complex real scenarios due to two major limitations. First, classification confidence only characterizes the categorical existence of lane candidates and has no strong correlation with geometric quality.