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2024 | IEEE Transactions on Intelligent Vehicles, 9(9)

Adversarial Safety-Critical Scenario Generation Using Naturalistic Human Driving Priors

Kunkun Hao, Wen Cui, Yonggang Luo, Lecheng Xie, Yuqiao Bai, Jucheng Yang, Songyang Yan, Yuxi Pan, Zijiang Yang

The paper generates realistic adversarial safety-critical driving scenarios using naturalistic human-driving priors.

safety-critical scenariosnaturalistic drivingadversarial testingsimulation

This journal article adds a complementary scenario-generation thread to the site. Its emphasis on naturalistic human-driving priors aligns with Songyang Yan’s broader work on realistic, safety-critical automated driving system tests.