GFSR introduces LCC for geometric fidelity calibration via LaneIoU and CRI, plus AGLR for gated point refinement, reporting SOTA F1 scores of 81.46% and 65.01% on CULane and 87.35% on CurveLanes.
Simultaneous detection of lane and pavement boundaries using model-based multisensor fusion
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GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection
GFSR introduces LCC for geometric fidelity calibration via LaneIoU and CRI, plus AGLR for gated point refinement, reporting SOTA F1 scores of 81.46% and 65.01% on CULane and 87.35% on CurveLanes.