Structure-aware state space modeling with multi-scale feature fusion for railway scene segmentation

Abstract Edge-deployed railway safety monitoring demands pixel-perfect semantic segmentation under extreme constraints: detection failures threaten operational safety, yet trackside devices must process diverse environmental conditions (fog, rain, nighttime) at over 30 FPS with under 50M parameters.