AI RESEARCH
The Era of End-to-End Autonomy: Transitioning from Rule-Based Driving to Large Driving Models
arXiv CS.CV
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ArXi:2603.16050v1 Announce Type: cross Autonomous driving is undergoing a shift from modular rule based pipelines toward end to end (E2E) learning systems. This paper examines this transition by tracing the evolution from classical sense perceive plan control architectures to large driving models (LDMs) capable of mapping raw sensor input directly to driving actions.