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News/StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets
arxiv
PublishedJune 4, 2026 at 4:00 AM

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets

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arXiv:2606.04271v1 Announce Type: cross Abstract: Autonomous driving has shifted from modular perception-prediction-planning stacks toward end-to-end (E2E) models that map sensor inputs directly to vehicle control, often regularized by auxiliary tasks such as 3D detection, motion forecasting, and HD

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