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cs.RO2025
Generative Modeling for Adversarial Lane-Change Scenarios
Chuancheng Zhang, Zhenhao Wang, Jiangcheng Wang +5
Decision-making in long-tail scenarios is pivotal to autonomous-driving development, and realistic and challenging simulations play a crucial role in testing safety-critical situat…
cs.RO2025
On-Demand Scenario Generation for Testing Automated Driving Systems
Songyang Yan, Xiaodong Zhang, Kunkun Hao +7
The safety and reliability of Automated Driving Systems (ADS) are paramount, necessitating rigorous testing methodologies to uncover potential failures before deployment. Tradition…
cs.RO2024
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors
Kunkun Hao, Yonggang Luo, Wen Cui +5
Evaluating the decision-making system is indispensable in developing autonomous vehicles, while realistic and challenging safety-critical test scenarios play a crucial role. Obtain…