Toward Robust LiDAR Semantic Segmentation for Real-World Deployment: Evaluation under Coarse Labels, Adverse Conditions, and Domain Shifts
A structured evaluation protocol is proposed that assesses the deployment readiness of LiDAR semantic segmentation models along three complementary dimensions: coarse-label evaluation aligned with autonomous driving safety priorities, revealing how label granularity affects different methods; robustness under eight typ...