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Open access Mar 2025

Toward Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-Critical Scenarios

Autonomous driving has made significant progress in both academia and industry, including performance improvements in perception tasks and the development of end-to-end autonomous driving systems. However, the safety and robustness assessment of autonomous driving has not received sufficient attention. Current evaluati...

Jingzheng Li, Xiang-Long Liu, Shikui Wei et al. · 3 citations
Jul 2026

End-to-end Conditional Diffusion for Realistic and Controllable Visual Traffic Scenario Generation

Generating closed-loop traffic scenarios that are both realistic and controllable is crucial for evaluating autonomous driving systems, especially under rare safety-critical interactions. Existing learning-based methods often struggle to balance controllability and realism, offering either limited fine-grained control...

Jingzheng Li, Yufei Ge, Zhijun Chen et al. · 0 citations

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