Testing

Dynamic testing for autonomous vehicles using random Quasi Monte Carlo
In this paper, a novel optimization problem is described and a dynamic scenario sampling method is proposed to cover more critical scenarios with finite samples.
Jingwei Ge, 张嘉玮, Cheng Chang, Yi Zhang, Danya Yao, Yonglin Tian, Li Li
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Dynamic testing for autonomous vehicles using random Quasi Monte Carlo
Task-driven controllable scenario generation framework based on AOG
This paper propose a task-driven controllable scenario generation framework that can generate scenarios with the consideration of the driving behavior of Surrounding Vehicles (SVs) in a controllable manner.
Jingwei Ge, 张嘉玮, Cheng Chang, Yi Zhang, Danya Yao, Li Li
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Task-driven controllable scenario generation framework based on AOG