A Risk-Field Enhanced Closed-Loop Digital Twin Framework for Autonomous Driving Safety Validation

arXiv:2607.09772v1 Announce Type: new Abstract: Autonomous driving systems require reliable safety validation before real-world deployment. However, large-scale road testing is costly, difffcult to reproduce, and inefffcient for exposing rare safety-critical scenarios. Conventional simulation improves repeatability, but an offfine simulator alone cannot continuously connect physical trafffc states, virtual reconstruction, algorithm evaluation, and scenario evolution. This paper proposes a risk-f...