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Jiangfan Liu

2 accepted papers

2026

Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles

AAAI 2026technical

The generation of safety-critical scenarios in simulation has become increasingly crucial for safety evaluation in autonomous vehicles (AV) prior to road deployment in society. However, current approaches largely rely on predefined threat patterns or rule-based strategies, which limit their ability

Cited by 0SourcePDFScholar
2026

NSF-HRPT: Neural Semantic Field Meets Hierarchical Risk Perception Tree for Safety-Critical Scenario Assessment

ICRA 2026poster

The ability to accurately assess and anticipate risks in safety-critical scenarios is crucial for autonomous driving systems. While existing research has made progress in collision prediction, accurately quantifying risk levels from monocular vision inputs remains challenging due to the complex dyna…

Cited by 0Scholar