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September 5, 2025Open Access

Safety Concerns in Autonomous Driving: A Taxonomy of Test and Evaluation Approaches

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Survey reveals essential scenario generation methods in autonomous vehicles, highlighting safety-critical testing challenges.

Scenario-based testing improves safety evaluation for autonomous vehicles, enhancing routine and critical assessments.
The study categorizes scenario generation methods into rule-based, data-driven, and learning-based approaches.
Core methodologies and evaluation metrics are analyzed, focusing on realism and diversity in test scenarios.
Research challenges like the reality gap and limited data generalization highlight the need for improved testing strategies.

Arif Hossain (2025) studied this question.

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