AI RESEARCH
EponaV2: Driving World Model with Comprehensive Future Reasoning
arXiv CS.CV
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ArXi:2605.14696v1 Announce Type: new Data scaling plays a pivotal role in the pursuit of general intelligence. However, the prevailing perception-planning paradigm in autonomous driving relies heavily on expensive manual annotations to supervise trajectory planning, which severely limits its scalability. Conversely, although existing perception-free driving world models achieve impressive driving performance, their real-world reasoning ability for planning is solely built on next frame image forecasting.