AI RESEARCH

UniUncer: Unified Dynamic Static Uncertainty for End to End Driving

arXiv CS.CV

ArXi:2603.07686v1 Announce Type: cross End-to-end (E2E) driving has become a cornerstone of both industry deployment and academic research, offering a single learnable pipeline that maps multi-sensor inputs to actions while avoiding hand-engineered modules. However, the reliability of such pipelines strongly depends on how well they handle uncertainty: sensors are noisy, semantics can be ambiguous, and interaction with other road users is inherently stochastic. Uncertainty also appears in multiple forms: classification vs.