Vehicle dynamics

Dynamic testing for autonomous vehicles using random Quasi Monte Carlo
In this paper, a novel optimization problem is described and a dynamic scenario sampling method is proposed to cover more critical scenarios with finite samples.
Jingwei Ge, 张嘉玮, Cheng Chang, Yi Zhang, Danya Yao, Yonglin Tian, Li Li
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Dynamic testing for autonomous vehicles using random Quasi Monte Carlo
Predictive information multiagent deep reinforcement learning for automated truck platooning control
A predictive information multiagent soft actor–critic (PI-MASAC) control framework is proposed for a human-leading automated heavy-duty-truck platoon.
Renzong Lian, Zhiheng Li, Boxuan Wen, Junqing Wei, 张嘉玮, Li Li
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Predictive information multiagent deep reinforcement learning for automated truck platooning control
Self-organized routing for autonomous vehicles via deep reinforcement learning
Self-organized routing strategy based on deep reinforcement learning (DRL).
Huaxin Pei, 张嘉玮, Yi Zhang, Huile Xu, Li Li
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Self-organized routing for autonomous vehicles via deep reinforcement learning