Scenario-based AV testing is modeled statistically, showing neither it nor mile-based testing universally outperforms the other, with a proposed (epsilon, alpha)-REF criterion for simulation fidelity.
Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SE 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
On the Need for a Statistical Foundation in Scenario-Based Testing of Autonomous Vehicles
Scenario-based AV testing is modeled statistically, showing neither it nor mile-based testing universally outperforms the other, with a proposed (epsilon, alpha)-REF criterion for simulation fidelity.