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Preprint Sep 2026

Data-Driven Risk Fields for Safer End-to-End Autonomous Driving

Safety is a fundamental requirement for autonomous driving, yet existing end-to-end driving models still lack explicit risk-aware learning capacities. Existing rule-based risk models provide interpretable safety priors, yet their absolute risk scores depend on handcrafted functions, coefficients, and thresholds. Learni...

Yuan-Xin Tian, Zhi-Yuan Liu, Jin-Hao Li et al. · 0 citations
Open access Aug 2026

Safe speed determination for emergency steering of heavy trucks on wet curved roadways

Current highway design standards employ point-mass models that neglect complex lateral load transfers during collision avoidance. To address this, an integrated analytical framework was developed to determine maximum safe operating speeds for heavy trucks executing emergency steering on wet curves. A modified bicycle m...

Menghua Yan, Liang Zhu, Wenpin Xu et al. · 0 citations

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