Uncertainty Budgets for Comparing Multi-View Driving Generators

Authors

  • Adrian Roberts Author
  • Cameron Hall Author
  • Jack Porter Author

Abstract

Uncertainty in a driving-generator comparison can arise from scene sampling, stochastic generation, annotation, automated measurement, and evaluator choice. Repeating one stage cannot resolve all the others. This article proposes an uncertainty budget that links each source to a corresponding observation or sensitivity analysis. OmniDrive provides the motivating multi-view setting. No new uncertainty estimates are calculated. The design helps allocate evaluation effort and prevents a narrow interval over many correlated frames from being interpreted as broad confidence about new scenes, measurement validity, or downstream driving utility.

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Published

2026-10-14

Issue

Vol. 2 (2026): Archive issue of 2026-10-14

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Articles

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Copyright (c) 2026 Adrian Roberts, Cameron Hall, Jack Porter

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This work is licensed under a Creative Commons Attribution 4.0 International License.