arXiv: cs.AI preprintsInternational6 November 2026
Autonomous Driving Research Requires a Community-Driven Data Paradigm
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arXiv:2610.08825v2 Announce Type: replace-cross Abstract: Autonomous driving has made remarkable progress, with recent AI advances enabling commercial deployments that are reshaping urban mobility. Yet the field remains far from its universal social promise: autonomous systems that can operate robustly anywhere, anytime, for anyone. We posit that this gap is not merely a modeling problem, but a problem of the prevailing data paradigm. Current research relies heavily on a few benchmark datasets with limited spatial and scenario coverage, even though the community has collectively produced over
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