AI RESEARCH
DRIVE-C: A Controlled Corruption Dataset for Autonomous Driving
arXiv CS.CV
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ArXi:2605.09774v1 Announce Type: new DRIVE-C is a controlled corruption dataset designed to evaluate visual perception robustness in autonomous driving systems. It is built from real-world forward-facing driving videos collected across daytime, nighttime, urban, rural, freeway, and parking environments. Clean clips are anonymized via localized face and license plate blurring, then transformed with physics-inspired synthetic degradations.