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This is a Literature Review study.

September 10, 2025Open Access

Generating Test Scenarios for Autonomous Driving: A Taxonomy and Survey

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This survey categorizes scenario generation methods for autonomous vehicles, highlighting critical testing methodologies.

Scenario generation enhances testing for autonomous vehicles by exposing them to challenging conditions.
The survey categorizes scenario generation into rule-based, data-driven, and learning-based methods with important metrics.
Identifying key challenges in testing for autonomous driving systems supports further research efforts in the field.
Emerging trends include hybrid modeling frameworks and standardized scenario repositories to improve testing efficiency.

Arif Hossain (2025) studied this question.

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