A Scenario-Based Development Framework for Autonomous Driving

Xiaoyi Li

A Scenario-Based Development Framework for Autonomous Driving

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arxiv 2011.01439 v2 pith:57QVNYM5 submitted 2020-11-03 cs.DC cs.AI

Xiaoyi Li This is my paper · ORCID

classification cs.DCcs.AI

keywords scenarioscenario-basedautonomousdatadevelopmentgenerationmethodresearch

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This article summarizes the research progress of scenario-based testing and development technology for autonomous vehicles. We systematically analyzed previous research works and proposed the definition of scenario, the elements of the scenario ontology, the data source of the scenario, the processing method of the scenario data, and scenario-based V-Model. Moreover, we summarized the automated test scenario construction method by random scenario generation and dangerous scenario generation.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 4 citations worldwide. Full citation record

A Survey on the Applications of Generative Artificial Intelligence in Automated Driving Systems Test Scenario Generation Methods
cs.SE 2025-12 reject novelty 4.0 of 10

A literature survey of scenario-generation methods for ADS testing that adds an unvalidated AII/RAS/OCS metric suite and ODD-difficulty schema, undermined by inconsistent calculations in the worked examples.

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