Generating Critical Test Scenarios for Autonomous Driving Systems via Influential Behavior Patterns

Author:

Tian Haoxiang1ORCID,Wu Guoquan1,Yan Jiren1,Jiang Yan1,Wei Jun2,Chen Wei1,Li Shuo2,Ye Dan2

Affiliation:

1. Institute of Software, Chinese Academy of Sciences, China

2. Institute of Software at Chinese Academy of Sciences, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

ACM

Reference45 articles.

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2. 2017. Programming Z3. Retrieved April 30, 2022 from https://theory.stanford.edu/ nikolaj/programmingz3.html 2017. Programming Z3. Retrieved April 30, 2022 from https://theory.stanford.edu/ nikolaj/programmingz3.html

3. 2019. SVLSimulator. Retrieved April 30 2022 from https://www.svlsimulator.com/docs/ 2019. SVLSimulator. Retrieved April 30 2022 from https://www.svlsimulator.com/docs/

4. Testing vision-based control systems using learnable evolutionary algorithms

5. Automatic Generation of Safety-Critical Test Scenarios for Collision Avoidance of Road Vehicles

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