AI RESEARCH
PairedGTA: Generating Driving Datasets for Controlled Photometric Shift Analysis
arXiv CS.CV
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ArXi:2606.01192v1 Announce Type: new Evaluating the performance of visual perception systems for autonomous driving is essential to ensure reliable operation across diverse environmental scenarios. Ideally, a balanced and fair analysis across different adverse conditions would require perfectly paired images of the same scene under different weather or illumination changes. This would allow evaluating the effect of photometric shifts independently of geometry and semantic changes.