GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection 事件

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection arXiv:2605.23327v2 Announce Type: replace Abstract: 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 priors and has no strong correlation with geometric quality. If threshold fi