WM-Cov: Test Adequacy for Interactive World-Model-Style Autonomous Driving Simulation

arXiv cs.AIAugust 4, 2026en

arXiv cs.AI

AI Global Wire

arXiv:2608.00298v1 Announce Type: new Abstract: World models and generative simulators are emerging as interactive testing infrastructure for autonomous driving because they can react to the ego planner and produce counterfactual, rare, and safety-critical rollouts. This changes a test scenario from a fixed replayed trajectory into an interactive scenario family whose realized evolution depends on the planner under test. The unresolved question is therefore not only whether dangerous rollouts can be generated, but what valid closed-loop evidence is enough to support a specified testing intent and stopping decision. This paper formulates interactive world-model-style testing adequacy and intr

This is a short summary published by AI Global Wire. The full article is owned and hosted by arXiv cs.AI — open it there to read it in full.

• Forskning