arXiv cs.CV
· Papers
FogDrive: A Multi-Modal Synthetic Driving Dataset for Perception under Graded Fog
arXiv:2607.22698v1 Announce Type: new Abstract: Perception under adverse weather remains a critical bottleneck for reliable autonomous driving, yet existing benchmarks lack the systematic multi-modal alignments needed to evaluate robust sensor fusion. Real-world weather datasets suffer from uncontrolled collection and