AI RESEARCH
XWOD: A Real-World Benchmark for Object Detection under Extreme Weather Conditions
arXiv CS.CV
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ArXi:2605.11521v1 Announce Type: new Autonomous driving and intelligent transportation systems remain vulnerable under extreme weather. The U. S. Federal Highway Administration reports that roughly 745,000 crashes and 3,800 fatalities per year are weather-related, and recent regulatory investigations have examined failures of Level-2/3 driving systems under reduced-visibility conditions. However, datasets commonly used to evaluate weather robustness remain limited in scale, diversity, and realism. In this paper, we