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eess.SY2026
Physics-Informed Koopman Learning for Data-Efficient System Identification of Automated Vehicle Dynamics
Hangyu Li, Yiming Meng, Zhaohui Liang +8
Understanding how a particular automated vehicle reacts to nearby traffic can improve motion prediction, control development, traffic simulation, and safety evaluation. However, co…
eess.SY2025
Unveiling Uniform Shifted Power Law in Stochastic Human and Autonomous Driving Behavior
Wang Chen, Heye Huang, Ke Ma +4
Accurately simulating rare but safety-critical driving behaviors is essential for the evaluation and certification of autonomous vehicles (AVs). However, current models often fail…